1159 citations as recorded by crossref.

1. Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction J. Kontos et al.
2. Exploring the potential of two vegetative indices, normalized difference vegetation index (NDVI) and enhanced vegetation index 2 (EVI2), to estimate balsam fir nutrition using uncrewed aerial vehicles and multispectral sensing M. MacDonald et al.
3. Using Deep Learning for Predictive Maintenance: A Study on Exhaust Backpressure and Power Loss S. Idiri et al.
4. YOLO-GEA: infrared target detection algorithm based on multi-scale feature fusion M. Da et al.
5. Data-driven multivariate regression-based anomaly detection and recovery of unmanned aerial vehicle flight data L. Yang et al.
6. QT3-FIS: A Quantum Type-3 Fuzzy Inference System for Nonlinear, Industrial, and Structural Applications R. Doroudi & S. Doroudi
7. Evaluating the performance of CHIRPS and CPC precipitation data for streamflow forecasting using multiple linear regression and Long Short-Term Memory Neural Network model K. Hasan et al.
8. Coefficient of variation method combined with XGboost ensemble model for wheat growth monitoring X. Li et al.
9. Evaluating the accuracy of smartphone light detection and ranging technology for three-dimensional building mapping W. Syafuan et al.
10. A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance M. Bhushan et al.
11. CMDC-PCQA: No-Reference Point Cloud Quality Assessment via a Cross-Modal Deep-Coupling Framework B. Wu et al.
12. A data-driven methodology for monitoring Total Quality Management (TQM) systems in the Industry 4.0 era C. Barragán et al.
13. Impacts of Climate Change on Chinese Cabbage (Brassica rapa) Yields and Damages from Insects D. Kim et al.
14. Comparative Analysis of Model Evaluation Metrics in Energy Systems, Environmental Modeling, and Sustainability Science M. Mundu et al.
15. External Cross-validation of Two Ciprofloxacin Population Pharmacokinetic Models in Patients in Intensive Care I. Rigter et al.
16. Mathematical Assessment of the Role of Human Behavior Changes on SARS-CoV-2 Transmission Dynamics in the United States B. Pant et al.
17. Forecasting with machine learning Shadow-Rate VARs M. Grammatikopoulos
18. Machine learning for land use change analysis in environmental protection areas M. Lizcano Toledo et al.
19. Development of an integrated model for assessing landslide susceptibility on vegetated slopes under random rainfall scenarios H. Jiang et al.
20. Advances in Short-Term Solar Forecasting: A Review and Benchmark of Machine Learning Methods and Relevant Data Sources F. Pandžić & T. Capuder
21. Contribution to advancing aquifer geometric mapping using machine learning and deep learning techniques: a case study of the AL Haouz-Mejjate aquifer, Marrakech, Morocco L. El Mezouary et al.
22. ResNetMF: Improving Recommendation Accuracy and Speed with Matrix Factorization Enhanced by Residual Networks M. Payandenick et al.
23. Water Quality in the Ma’an Archipelago Marine Special Protected Area: Remote Sensing Inversion Based on Machine Learning Z. Wang et al.
24. A multi-metric assessment of publicly available earth observation datasets reveals discrepancies in forest cover estimates in Paraguay, Zambia and Zimbabwe: higher resolution is not always a good indicator for accuracy N. Gapare et al.
25. Predicting the Fatigue Crack Life of Train Axles Using a Collaborative Network of Yolov5 and LSTM for Acoustic Emission Signals L. Lin et al.
26. Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer E. Anyimadu et al.
27. Comparative Analysis and Validation of LSTM and GRU Models for Predicting Annual Mean Sea Level in the East Sea: A Case Study of Ulleungdo Island T. Kim et al.
28. Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions A. Jalilian et al.
29. Predicting the dynamic behavior of a magnetocaloric cooling prototype via artificial neural networks P. Silva et al.
30. Calibration for Improving the Medium-Range Soil Forecast over Central Tibet: Effects of Objective Metrics’ Diversity Y. Guo et al.
31. Joint utilization of closure phase and closure amplitude for soil moisture change using interferometric synthetic aperture radar X. Zeng et al.
32. Solar energy production in EU + countries using space–time forecasting A. Grigorescu et al.
33. Neural network prediction of thermal field spatiotemporal evolution during additive manufacturing: an overview O. Chike et al.
34. Vicia faba L. Pod Valves: A By-Product with High Potential as an Adjuvant in the Treatment of Parkinson’s Disease C. Tesoro et al.
35. OPERA net Otsu driven performance enhanced image restoration algorithm P. Sharma et al.
36. Innovative Approaches for PCB Image Reconstruction: Tailored Datasets, Metrics, and Models Q. Wang
37. Electrical Power Optimization of Cloud Data Centers Using Federated Learning Server Workload Allocation A. Safari & A. Rahimi
38. Cost-effectiveness and economic growth potential evaluation of olive pomace gasification process to sustainable fuel: Comparison study of different gasifying agent B. Hosseingholilou et al.
39. Innovative use of corncob ash in concrete: a machine learning perspective on compressive strength prediction N. Sathiparan
40. Lean Six Sigma 4.0 Application in the Food and Beverage Industry: A Case Study W. dos Santos et al.
41. Outlier-trimmed dual-interval smoothing loss for sample selection in learning with noisy labels S. Hou et al.
42. Fueling the Future: A Comprehensive Analysis and Forecast of Fuel Consumption Trends in U.S. Electricity Generation M. Bhuiyan et al.
43. Relationship analysis between Ganoderma boninense-derived Basal Stem Rot disease severity with multiple leaf physiology parameters in mature oil palm tree responses toward water use efficiency (WUE) M. Baharim et al.
44. Gas Emission Characteristics of Coal Particles Without Local Resistance and Optimization of the Emission Model X. Fu et al.
45. Machine learning-based prediction of volatile compounds profiles in Saccharomyces cerevisiae fermentation simulating canned meat L. Du et al.
46. A Predictive Adaptive Learning Method for Multivariable Time Series With Mooney Viscosity Prediction as an Application Case Y. Zhu et al.
47. Revisiting the future changes in precipitation extremes over the Eastern Tibetan Plateau: from the thermodynamic–dynamic processes to model uncertainty K. Wang et al.
48. The study of hydrogen adsorption-induced topological surface state in–out hop in MgB2 nodal-line semimetals via physics-informed Bayesian optimization Q. Yue et al.
49. An enhanced 2D model with the HLLC method utilized for local multi-layer SWEs for partial obstructed flows C. Xiao et al.
50. Amino-functionalization of PVA/TiO 2 -CeO 2 nanohybrid adsorbent for the removal of selenium ions from aqueous solutions: Equilibrium and kinetics studies H. Senisel Bachari et al.
51. Anaerobic co-digestion of lignocellulosic/lipidic wastes with cattle manure: Investigating biogas production and methane yield M. Mirabi et al.
52. Intra- and inter-rater reliability in log volume estimation based on LiDAR data and shape reconstruction algorithms: a case study on poplar logs G. Forkuo & S. Borz
53. Enhancing Trajectory Tracking Performance of Underwater Gliders Using Finite-Time Sliding Mode Control Within a Reinforcement Learning Framework G. Wang et al.
54. Selection of representative general circulation models under climatic uncertainty for Western North America S. Mahjour et al.
55. Advanced Runaway Prediction for Wind Turbines Using Temporal Convolutional Networks With Efficient Channel Attention Within a Digital Twin State Perception Framework H. Zhang et al.
56. Improving UAV Remote Sensing Photogrammetry Accuracy Under Navigation Interference Using Anomaly Detection and Data Fusion C. Meng et al.
57. Analysis of annual and monthly precipitation trends based on long-term data (Case study: Zohreh–Jirahi Basin in Iran) A. Bidgoli et al.
58. A hybrid hw-rfr forecasting model: case of moroccan pharmaceutical sector M. ATWANI et al.
59. Drug Combination Recommendation Model for Systemic Lupus Erythematosus and Antiphospholipid Syndrome L. Wang et al.
60. GPS L1 C/A intermediate-frequency signal processing of the CYGNSS and accuracy optimization for sea surface altimetry S. Yang et al.
61. Sustainable Reservoir Management: Simulating Water Flooding to Optimize Oil Recovery in Heterogeneous Reservoirs Through the Evaluation of Relative Permeability Models A. Ismail et al.
62. Predictive insights into CO2 capture carbonation conversion rates under different Ca-looping conditions in fluidized bed reactors H. Behtash et al.
63. Machine Learning-Enabled performance exploration to unveil the potential of AuCuSe4 in thermophotovoltaic cell A. Abir et al.
64. VPBR: An Automatic and Low-Cost Vision-Based Biophysical Properties Recognition Pipeline for Pumpkin L. Dang et al.
65. Evaluation of Different Filtering Methods Devoted to Magnetometer Data Denoising T. Pereira et al.
66. A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits R. Fernandes et al.
67. Moving Horizon Estimator for Space Vehicle Dynamics with Measurement Noise in Close Propinquity Operation I. Muritala et al.
68. A Classified Branch–CapNet: A Multi-Modal Model with Classified Branches for the Capacity Prediction of Li–Ion Battery Cathodes J. Kim et al.
69. Internet of Things for Sustainable Carbon Footprint Reduction and Energy Management in Supply Chain S. Rahaman
70. Modelling Soil Moisture Content with Hydrus 2D in a Continental Climate for Effective Maize Irrigation Planning N. Siphiwe et al.
71. An Effective and Robust Parameter Estimation Method in a Self-Developed, Ultra-Low Frequency Impedance Spectroscopy Technique for Large Impedances B. Kuljic et al.
72. Multi-source ensemble transfer learning-based unmanned aerial vehicle flight data anomaly detection with limited data: From simulation to reality L. Yang et al.
73. A Robust Cross-Band Network for Blind Source Separation of Underwater Acoustic Mixed Signals X. Wang et al.
74. Machine learning to assess and support safe drinking water supply: a systematic review F. Feng et al.
75. Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection H. Liu et al.
76. Deep learning and generative models to predict Manning resistance I. Loukam et al.
77. An Optimized Workflow for Digital Surface Model Series Generation Based on Historical Aerial Images: Testing and Quality Assessment in the Beach-Dune System of Sa Ràpita-Es Trenc (Mallorca, Spain) C. Mestre-Runge et al.
78. Streamflow prediction in the Danube River Basin using a multi-source graph-integrated GCN-LSTM model M. Sun et al.
79. A data-driven supervised machine learning approach to estimating global ambient air pollution concentrations with associated prediction intervals L. Berrisford et al.
80. Self-organizing cascaded echo state network for time series prediction X. Li et al.
81. Development of Evaluation Model for Building Energy Usage: Methodology Development and Case Study on Day-Care Centers in South Korea J. Park et al.
82. Assessing the potential of consumer-grade fish finders to improve coastal habitat mapping in data-poor areas P. Gomes et al.
83. MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens J. Wang et al.
84. Experimental and numerical investigation of stress corrosion cracking in AISI 4340 steel under near neutral solution conditions A. Alsit et al.
85. Development and High-Fidelity Simulation of Trajectory Tracking Control Schemes of a UUV for Fish Net-Pen Visual Inspection in Offshore Aquaculture T. Tun et al.
86. Accuracy and Precision of Wearable-Derived Gait Parameters: How These Affect the Performance of Models for Fall Prediction in the Elderly Z. Guan et al.
87. Hybrid early warning system: Integration of Z-score and machine learning for predicting financial performance of IRB in Indonesia I. Mawardi et al.
88. Evaluation of machine learning methods for forecasting turbidity in river networks using Sentinel-2 remote sensing data V. Santos et al.
89. Modelling for supply uncertainty of production using adaptive neuro-fuzzy system I. Maflahah et al.
90. A dual-level hybrid machine learning model based on RFE-XGBoost and adaptive DBSCAN algorithm for multi-horizon wind energy forecasting M. Khan et al.
91. Optimizing prediction accuracy in dynamic systems through neural network integration with Kalman and alpha-beta filters J. Khan et al.
92. Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function C. Kongsanun et al.
93. Watershed-scale Karst Carbon Sink Assessment: Based on DIC and DOC Concentration Model Construction X. Lu et al.
94. Machine Learning Prediction of Self-Injurious Outcomes in Adolescents by Sexual and Gender Identity N. Kako et al.
95. Hybrid deep learning and evolutionary algorithms for accurate cloud workload prediction T. Ali et al.
96. Coastal morphological changes and response to Typhoon Rai events in Pahang’s coastline M. Ramli et al.
97. Estimation of the deep drainage for irrigated cropland based on satellite observations and deep neural networks H. Yu et al.
98. Advances and prospects of deep learning for medium-range extreme weather forecasting L. Olivetti & G. Messori
99. NadamClip: A Novel Optimization Algorithm for Improving Prediction Accuracy and Training Stability J. Tu et al.
100. Statistical Quantification of the COVID-19 Pandemic’s Continuing Lingering Effect on Economic Losses in the Tourism Sector A. Mphanya et al.
101. Enhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach M. Naveed et al.
102. A modified testing method based on ASTM F382 considering the practical physiological loading and boundary conditions applying on bone plates H. Chen et al.
103. Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates W. Wang et al.
104. Application of Taguchi method in optimizing the positioning accuracy measurement using helical path ballbar test K. Xing et al.
105. A Review of Simultaneous Localization and Mapping Methods for Off-Road Mobile Robots N. Abizov
106. Green horizons: an evaluation of sustainability integration in social studies curriculum S. Balbin et al.
107. A generic framework for mix design of geopolymer for soil stabilization: Composition-informed machine learning model J. Zhang et al.
108. Prediction of Cell Survival Rate Based on Physical Characteristics of Heavy Ion Radiation A. Debreceni et al.
109. Forecasting of Successful Completion of University Study Programs: Data Pre-processing and Optimization of LAMA BPO Algorithm A. Iurasov & A. Iurasov
110. Fuzzy expert system for the process of collecting and purifying acidic water: a digital twin approach T. Maratuly et al.
111. Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges O. Faust et al.
112. Modelling and Simulation of Marine Oil Snow Formation T. Akshaya et al.
113. Non-Destructive Structural Deformation Reconstruction via Data-Driven Modal Superposition G. Liuzzo & P. Fanelli
114. An LSTM–AE–Bayes embedded gateway for real-time anomaly detection in agricultural wireless sensor networks J. Shu et al.
115. A data-informed cascading consequence modeling framework for hurricane-induced petrochemical facility disruptions K. Capshaw & J. Padgett
116. Comparative Analysis of ARIMA, SARIMA and Prophet Model in Forecasting S. Kwarteng & P. Andreevich
117. Linking error measures to model questions B. Jacobs et al.
118. Probabilistic Mathematical Model for Dietary Consumption and Exposure Assessment in the Absence of Data from National Nutrition Surveys: A Case Study on Saudi Arabia O. Alhumaidan et al.
119. Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features S. Zhang et al.
120. Hyperspectral Imaging with Enhanced Partial Least Squares Regression (PLSR) for Accurate Sago Powder Quality Evaluation P. Teo et al.
121. Disease and Economic Burden Averted by Hib Vaccination in 160 Countries: A Machine-Learning Analysis D. Zhou et al.
122. Urbanization, climate variability, and groundwater dynamics in Eastern India: a mixed-effects modelling approach S. Parween
123. Risk Assessment for Linear Regression Models in Metrology D. Božić et al.
124. Assessing environmental determinants of subjective well-being via machine learning approaches: a systematic review M. Yang & Y. Zou
125. PHoRNet: Bell-mouth deformation detection method of cone forgings based on 6D probability voting in Hough space point cloud registration method X. Chen et al.
126. Research Progress of Photovoltaic Power Prediction Technology Based on Artificial Intelligence Methods D. Zhou et al.
127. Large-scale monitoring of inland water surface levels with GEDI data: an operational cloud-based approach in Google Earth Engine A. Hamoudzadeh et al.
128. Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al.
129. Application of LightGBM Algorithm in Production Scheduling Optimization on Non-Identical Parallel Machines K. Ait Ben Hamou et al.
130. Characterizing High-Resolution Uneven Drought Conditions in Vietnam for More Reliable Hazard Assessment T. Le et al.
131. Development and Evaluation of a Urinary Na/K Ratio Prediction Model: A Systematic Comparison from Attention-Based Deep Learning to Classical Ensemble Approaches E. Yuda et al.
132. Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors C. Ibebuchi
133. Predictive Framework for Regional Patent Output Using Digital Economic Indicators: A Stacked Machine Learning and Geospatial Ensemble to Address R&D Disparities A. Zhao & P. Wang
134. A stochastic optimisation framework for integrating photovoltaic systems, heat pumps, and energy storage in buildings A. Olympios et al.
135. A regression-based method for estimating the number of power poles in areas of electricity consumption regulation P. Araujo et al.
136. Multiscale drought assessment and forecasting in Saurashtra using meteorological drought indices and machine learning models L. Jain et al.
137. Exploring the Influence of Initial Estimates on Iterative Maximum Likelihood Expectation–maximization in Tomographic Reconstruction M. Qutbi
138. Research on applying machine learning models to predict and assess return on assets (ROA) P. Son & L. Duong
139. High-Resolution Daily XCH4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data M. Awad & S. Homayouni
140. Toward data-driven machining: Prediction of surface roughness in high-entropy alloy coatings using a stacking ensemble machine learning model M. Dehghanpour Abyaneh et al.
141. Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology H. Bagheri et al.
142. Occupancy estimation using indoor air quality data: opportunities and privacy implications D. Vake et al.
143. Framework for Analytical Validation of DHT-Based Actigraphy and Signal Measures in HF Trials O. Kose et al.
144. An interpretable ensemble machine learning model for predicting carbon dioxide adsorption on magnesium oxide-based sorbents L. Fan et al.
145. Optimizing removal of antiretroviral drugs from tertiary wastewater using chlorination and AI-based prediction with response surface methodology Z. Kang et al.
146. Probabilistic Time Geographic Modeling Method Considering POI Semantics A. Wang et al.
147. Predicting flexural properties of 3D-printed composites: A small dataset analysis using multiple machine learning models H. Qayyum et al.
148. Monitoring and Predicting Air Quality with IoT Devices C. Banciu et al.
149. Design Guidelines for MOFs in CF4/NF3 Separation Based on Feature Selection with Stacking Ensemble Model M. Zhang et al.
150. Machine Learning Descriptors for CO2 Capture Materials I. Orhan et al.
151. Predicting Phubbing Through Machine Learning: A Study of Internet Usage and Health Risks A. Yalman et al.
152. Bridging Time-Scale Mismatch in WWTPs: Long-Term Influent Forecasting via Decomposition and Heterogeneous Temporal Attention W. Lei et al.
153. Southwest Greenland supraglacial lake bathymetry derived from ICESat-2 and spectral stratification of satellite imagery J. Lv et al.
154. Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models S. Soomro et al.
155. Sales Forecasting with LSTM, Custom Loss Function, and Hyperparameter Optimization: A Case Study H. Hurtado-Mora et al.
156. Preenchimento de falhas em séries de dados meteorológicos de estações automáticas A. Pereira et al.
157. Improvements and Persistent Biases in the Ocean Climatology Simulated by the Beijing Climate Center Climate System Models from CMIP5 to CMIP6 L. Ma et al.
158. Performance of deep learning in moiré fringe analysis with different intensities Y. Chen et al.
159. Drought Quantification in Africa Using Remote Sensing, Gaussian Kernel, and Machine Learning F. Sseguya & K. Jun
160. Optimization of LSTM networks through neuroevolution for drought forecasting in Mexico R. Villegas-Vega et al.
161. Applied machine learning multi-model benchmarking to plastic waste pyrolysis for optimizing crude oil yield production J. Romero Castro et al.
162. Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques M. Ghodsi et al.
163. A Proposed Deep Learning Framework for Air Quality Forecasts, Combining Localized Particle Concentration Measurements and Meteorological Data M. Psaropa et al.
164. Applying Multi-Critic Deep Deterministic Policy Gradient for Effective Selection of Macroeconomic Announcements in Forex Trading A. Baradja et al.
165. USE OF THE IDW INTERPOLATION METHOD FOR THE MAPPING OF FLOW AND ELECTRICAL CONDUCTIVITY OF GROUNDWATER IN THE STATE OF CEARÁ V. Noronha et al.
166. RF Interferometric Vibration Monitoring via Phase Difference of Arrival (PDoA) Using SDR-Based Simulation and Experimentation F. Pramesti et al.
167. Deviation of drive torque and rotational speed of a wind turbine drivetrain between test bench and wind turbine simulations A. Krause et al.
168. Probability-Guided Edge Enhancement Network for Remote Sensing Image Semantic Segmentation C. Yu et al.
169. Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements S. Sahl et al.
170. A homogenized sliding-block model for landslide motion analysis F. Zhang et al.
171. Hierarchical machine learning-based prediction for ultrasonic degradation of organic pollutants using sonocatalysts H. Jeong et al.
172. Fluoride Risk Prognostication: A Pioneering Ensemble Machine Learning Approach for Groundwater Contamination Prediction in Parts of the East Coast of India A. Pati et al.
173. Prediction and Analysis of Blood Glucose Levels based on Tabnet H. Yang
174. Reproducing computational processes in service-based geo-simulation experiments Z. Zhu et al.
175. Time Series Modelling and Forecasting of Oil and Gas Prices in South Africa: Assessing the Impact of the COVID‐19 Pandemic D. Chikobvu et al.
176. Effects of climate change on wet and dry spells in Kelantan River basin using physically-based hydrological model and CMIP6 scenarios N. Mohamad Arbai & M. Irie
177. Time series prediction of insect pests in tea gardens X. Chen et al.
178. Seasonal and regional differences and drivers of recent total phosphorus levels in Asia’s largest basin under high-intensity anthropogenic activities Y. Dai et al.
179. An Imputation-Enhanced Hybrid Deep Learning Approach for Traffic Volume Prediction in Urban Networks: A Case Study in Dresden P. Yan et al.
180. Performance Evaluation of Photovoltaic Panels in Extreme Environments: A Machine Learning Approach on Horseshoe Island, Antarctica M. Das et al.
181. Research on prediction of energy density and power density of biomass carbon-based supercapacitors based on machine learning X. Lu et al.
182. Beyond CO2: Incorporating Bicarbonate, Dynamic Carbon Speciation, and Stoichiometric Plasticity Into Algal Growth Models E. Flanagan et al.
183. Predicting ESG Scores Using Machine Learning for Data-Driven Sustainable Investment S. Patel et al.
184. Development, validation, and demonstration of the herringbone parlor model R. Prendergast et al.
185. Exploring modeling techniques for predicting band gaps of Doped-ZnO: A Machine learning approach H. Lamouadene et al.
186. AmazonAICloud: proactive resource allocation using amazon chronos based time series model for sustainable cloud computing H. Wang et al.
187. Quantifying Influence of Beam Drift on Linear Retardance Measurement in Dual-Rotating Retarder Mueller Matrix Polarimetry K. Deng et al.
188. Research on specific capacitance prediction of biomass carbon-based supercapacitors based on machine learning C. Zhao et al.
189. Assessing the Influence of a Bias Correction Method on Future Climate Scenarios Using SWAT as an Impact Model Indicator T. Brighenti et al.
190. Wheat Yield Estimation Based on Unmanned Aerial Vehicle Multispectral Images and Texture Feature Indices Y. Kang et al.
191. Counterfactual Debiasing Heterogeneous Ability-Induced Exercise Indices Estimation for Cognitive Diagnosis H. Ma et al.
192. Defense Expenditure and National Well-Being: Evidence from the G7 Countries T. Gbadegesin
193. A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste M. Zaki et al.
194. A hybrid deep-learning-architecture for identifying cotton content in fabric materials M. Wiedemann et al.
195. Predicting lignin removal efficiency in deep eutectic solvent-based biomass fractionation: an explainable machine learning approach Z. Zhong et al.
196. Rainfall Projections for the Brazilian Legal Amazon: An Artificial Neural Networks First Approach L. Monteiro et al.
197. A machine-learning-based composition design of ternary Cu-based Rochow-Müller catalyst with high M2 selectivity T. Ma et al.
198. WAAM-ViD: towards universal vision-based monitoring for wire arc additive manufacturing K. Kim et al.
199. AI-Driven Spectral Decomposition: Predicting the Most Probable Protein Compositions from Surface Enhanced Raman Spectroscopy Spectra of Amino Acids S. Srivastava et al.
200. Modeling and Prediction of Carbon Monoxide during the Start-Up in ICE through VARX Regression A. Garcia-Basurto et al.
201. Recent advances in machine learning and deep learning-enabled studies on transition metal dichalcogenides S. Bhawsar & E. Yang
202. Machine learning-based energy density prediction of bio-based supercapacitor with Shapley additive model interpretation D. Oyebamiji & D. Chandran
203. Identifying key determinants of discharge capacity in ternary cathode materials of lithium-ion batteries X. Li et al.
204. Graph neural networks for computational plasma physics on unstructured grids: application to approximate the Poisson equation for Hall-Effect Thrusters modeling G. Vigot et al.
205. Magnetic actuation for magnetic nanoparticles under magneto-thermo-acoustic imaging F. Zhao et al.
206. Phenotypic diversity of brown trout (Salmo trutta L.) during the late Upper Pleistocene and Early Holocene in the glacial refugium of Iberia A. D'Aurelio et al.
207. Convolutional neural network model-based prediction of human muscle activity by analyzing urine in body fluid using Raman spectroscopy S. Liu et al.
208. Surface ozone trend variability across the United States and the impact of heat waves (1990–2023) K. Chang et al.
209. Resonance-Based Optical Gas Sensors E. Gallego-Martínez et al.
210. Competing flames model applied to pasty propellants V. Babuk & E. Burachek
211. Optimization Techniques for Asthma Exacerbation Prediction Models: A Systematic Literature Review D. Adamu Aliyu et al.
212. Enhancing the assessment of in situ beam–column strength through probing and machine learning J. Ma et al.
213. Machine Learning Algorithm-Based Prediction Model and Software Implementation for Strength Efficiency of Cemented Tailings Fills H. Cao et al.
214. Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrids M. Hartani et al.
215. Thermal Intelligence for Hydro-Generators: Data-Driven Prediction of Stator Winding Temperature Under Real Operating Conditions . Zangpo et al.
216. Comprehensive survey of body weight estimation: techniques, datasets, and applications M. Jan et al.
217. Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach K. Tian et al.
218. Adaptive sliding window normalization G. Papageorgiou & C. Tjortjis
219. Genetic algorithm optimization of tree-based models to predict cargo- and carrier-related factors affecting drug release from liposomes F. Taghizadeh et al.
220. POINT-BY-POINT AND COMPLEX QUALITY METRICS IN ATMOSPHERE AND OCEAN RESEARCH: REVIEW OF METHODS AND APPROACHES V. Rezvov et al.
221. Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks C. Kang et al.
222. Fine-Grained Multilingual Hate Speech Detection Using Explainable AI and Transformers J. Siddiqui et al.
223. Comparative Study of NIR-Based Machine Learning for Predicting Soil Nutrients in Indonesian Farmlands A. Adnan et al.
224. Methods and Models of Machine Learning in Chemistry and Material Science Using Solute Diffusion Experiment O. Veretiuk & N. Andrushchak
225. Predicting the entire pyrolysis process of representative charring material infiltrated with kerosene using an improved artificial neural network Y. Wu et al.
226. Energy security and the shift to renewable resources: The case of Russia-Ukraine war H. Nguyen et al.
227. Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics R. Ota & F. Yamashita
228. CGAformer: Multi-scale feature Transformer with MLP architecture for short-term photovoltaic power forecasting R. Chen et al.
229. Regression machine learning methods for isolation prediction and massive gain broadband MIMO antenna design for 28 GHz applications M. Haque et al.
230. Machine learning assisted SCAPS-1D simulations for performance optimization of cesium-based double perovskite solar cells A. Srivastava et al.
231. Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks G. Montanaro et al.
232. Optimizing Carbon Emissions in Electricity Markets: A System Engineering and Machine Learning Approach Z. An & C. Whitcomb
233. Design of Proportional Gain in Super‐Twisting Control for Second‐Order Systems With External Disturbances Y. Zhang & K. Ma
234. Predicting the spatial distribution of salt-affected soil using Sentinel-2 in coastal area of Demak Regency P. Kricella et al.
235. Multi-scale dynamic population estimation: an Adaptive Inverse Distance Weighting (AIDW) model incorporating spatial characteristics M. Sadeghi et al.
236. Multidimensional trophoblast invasion assessment by combining 3D in vitro modeling and deep learning analysis A. Gyunesh et al.
237. Optimization of co-injecting CH4 with CO2 to enhanced oil recovery and carbon storage: A machine-learning based case study on H59 block of Jilin Oilfield, China G. Chen et al.
238. Long Short-Term Financial Time Series Forecasting Based on Residual Multiscale TCN Sparse Expert Network and Informer W. Bao et al.
239. Age estimation through facial images using Deep CNN Pretrained Model and Particle Swarm Optimization N. Muliawan et al.
240. Using physical parameters in a deep neural network for regional VTEC prediction M. Alikhani et al.
241. Evaluation of camera configurations of OpenPose-based 3D motion capture system for construction tasks D. Yang & E. Jung
242. U-Patch GAN: A Medical Image Fusion Method Based on GAN C. Fan et al.
243. Load Modeling and CVR Analysis for Residential Appliances and Distribution Network—A Review M. Seva Bala Sundaram et al.
244. Trends in Event Understanding and Caption Generation/Reconstruction in Dense Video: A Review A. Gezawa & Y. Lei
245. Progress in data-driven thermal comfort analysis and modeling A. Čulić et al.
246. Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean S. Mohammed et al.
247. Reconstructing historical cloud ice water fraction using machine learning and multi-source satellite data from 1983 to 2009 D. Xiao et al.
248. Error-correction across gauged and ungauged locations: A data assimilation-inspired approach to post-processing river discharge forecasts G. Matthews et al.
249. FIEA: An android tool for sustainable furrow irrigation L. Kumwenda et al.
250. Application of Machine Learning in Predicting Critical Granule Quality Attributes for Modeling of Relationship Between the Properties of Natural Medicine and Process Attributes Q. Dongli et al.
251. EFFECT OF SEASONAL-TREND DECOMPOSITION ON MACHINE LEARNING-BASED SUSPENDED SEDIMENT LOAD PREDICTION PERFORMANCE C. Köyceğiz & M. Büyükyıldız
252. Remaining Useful Life Prediction of Rolling Bearings Based on an Improved U-Net and a Multi-Dimensional Hybrid Gated Attention Mechanism H. Wang & A. Shi
253. Design and hierarchical analysis of magnetic actuated robot: A governing equation based approach S. Wei et al.
254. Adaptive LASSO estimation for functional hidden dynamic geostatistical models P. Maranzano et al.
255. A systematic review of neural network applications for groundwater level prediction S. Afful et al.
256. Weight-Adaptive Network With CT Enhancement for Short-Duration PET Imaging Utilizing the uEXPLORER Total-Body System F. Luo et al.
257. A Non-Hybrid Data-Driven Fuzzy Inference System for Coagulant Dosage in Drinking Water Treatment Plant: Machine-Learning for Accurate Real-Time Prediction A. Bressane et al.
258. Using machine learning methods for prediction of drilling rate: case of water drilling operations in gneiss rock G. Kamdem Eugène et al.
259. Early warning system for offshore wind turbine runaway using combined multi-method missing value filling W. Weng et al.
260. Stress-aware graph neural network for springback prediction considering material variations H. Wang et al.
261. Cross-scale modeling and collaborative optimization of ethanol-catalyzed coupling to produce C4 olefins: Nonlinear modeling and collaborative optimization strategies J. Xiao et al.
262. Analyzing and Predicting the Relationship Between the Coupling Capacitance and the Plates Misalignment Based on SSA‐CNN Method in Dynamic Charging of EVs S. Li et al.
263. Predicting physical and mental health status through interview-based evaluation of work stress: initial attempts to standardize the interviewing method K. KIUCHI et al.
264. LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds F. Houndekindo & T. Ouarda
265. Identification and evaluation of nighttime light pollution in residential gathering area of megacities based on SDGSAT-1 glimmer imagery Y. Wu et al.
266. Machine Learning for Covariate-Driven Changes in Weibull Scale Parameter M. Ramadhan et al.
267. Exploring the Impact of Color and Daytime/Nighttime on Visual Memory in Virtual Reality Teaching Environments Using Explainable Machine Learning F. Liu et al.
268. Machine learning methods for domestic energy prediction and retrofit potential for small-neighbourhoods at national scales in England and Wales G. Colverd et al.
269. Prediction of bio-oil yield by machine learning model based on 'enhanced data' training C. Zhao et al.
270. Enhancing Feature Optimization for Crop Yield Prediction Models S. Chatterjee et al.
271. Neural Network-Based Approaches for Predicting Construction Overruns with Sustainability Considerations K. Galjanić et al.
272. Review – Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor S. Zahir et al.
273. Improving global soil moisture prediction based on Meta-Learning model leveraging Köppen-Geiger climate classification Q. Li et al.
274. Rapid Assessment of Steel Machinability through Spark Analysis and Data-Mining Techniques G. Munđar et al.
275. Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia K. Tareke & A. Awoke
276. Comprehensive Evaluation of Optimization Algorithms and Performance Criteria for ANN-Based PEMFC Voltage Prediction H. Abbade et al.
277. Study on the applicability of coal flotation reagent dosage prediction models trained based on a large amount of actual industrial on-site data Y. Yu et al.
278. Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach R. Nakamoto et al.
279. Using “big data” and non-linear machine learning to infer groundwater contamination mechanisms across a spatially extensive, geologically heterogeneous region I. Petculescu et al.
280. Multi-model machine learning for predicting tractor operator discomfort caused by whole-body vibration A. Singh et al.
281. Improving parallel translation computed laminography reconstruction quality via projection extrapolation Z. Chen et al.
282. Developing Expert Systems for Improving Energy Efficiency in Manufacturing: A Case Study on Parts Cleaning B. Ioshchikhes et al.
283. Objective evaluation of 35 heart rate variability parameters for predicting takeover performance in conditionally automated driving N. Zhang et al.
284. Analisis Pengaruh Sudut Kemiringan Terhadap Daya Keluaran Pada Panel Surya Jenis Polycrystalline 100 WP Menggunakan Regression Quadratic M. Hardianto et al.
285. Parameter recommendation for injection molding based on similarity analysis of injection molded parts J. Volke et al.
286. The Limits of RGB-Based Vegetation Indexes under Canopy Degradation: Insights from UAV Monitoring of Harvested Cereal Fields R. Jes鷖 et al.
287. Advancements and prospects of deep learning in biomaterials evolution S. You et al.
288. MetapathVis: Inspecting the Effect of Metapath in Heterogeneous Network Embedding via Visual Analytics Q. Li et al.
289. Efficient Active Azimuth-Elevation DOA Estimations via Massive MIMO Radar A. Molaei et al.
290. EoML-SlideNet: A Lightweight Framework for Landslide Displacement Forecasting with Multi-Source Monitoring Data F. Zhang et al.
291. Estimating the environmental impact of dog foods marketed in the UK J. Harvey et al.
292. Machine Learning—Driven Analysis of Agricultural Nonpoint Source Pollution Losses Under Variable Meteorological Conditions: Insights from 5 Year Site-Specific Tracking R. Jing et al.
293. Ensemble machine learning prediction of anaerobic co-digestion of manure and thermally pretreated harvest residues Đ. Kovačić et al.
294. Machine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics M. Haque et al.
295. An adaptive robust Kalman filter based on influence function W. XUE et al.
296. Model test and numerical simulation study on the hydraulic performance similarity theory and pressure pulsation characteristics of vertical axial flow pump device based on variable-speed and variable-angle adjustment L. Shi et al.
297. Artificial Intelligence Could Predict Chest Tube Drainage Necessity for Spontaneous Pneumothorax D. Noh et al.
298. High-resolution land surface modelling over Africa: the role of uncertain soil properties in combination with forcing temporal resolution B. Oloruntoba et al.
299. Large depth-of-field structured light system for 3D microscale measurement with integrated speckle denoising Y. Shen et al.
300. Bayesian-Inspired Dynamic-Lag Causal Graphs and Role-Aware Transformers for Landslide Displacement Forecasting F. Zhang et al.
301. A novel ensemble machine learning approach for optimizing sustainability and green hydrogen production in hybrid renewable-based organic Rankine cycle-operated proton exchange membrane electrolyser system V. Vignesh Kumar et al.
302. A hematology-based clock derived from the Study of Longitudinal Aging in Mice to estimate biological age J. Martinez-Romero et al.
303. Selection of the Value of the Power Distance Exponent for Mapping with the Inverse Distance Weighting Method—Application in Subsurface Porosity Mapping, Northern Croatia Neogene U. Barudžija et al.
304. Time Series Perspective on the Sustainability of the South African Food and Beverage Sector T. Masena et al.
305. Monitoring and Predictive Analysis of Surface Deformation Using Combined SBAS-InSAR Technology and CS-Elman Neural Network: A Case Study of Wenchuan County, Sichuan Province, China K. Chen & B. Wang
306. Comparative analyses of ERA-Interim and COSMO-MUSCAT simulated outputs of March 2010 dust outbreak over West Africa and its impact on climatic parameters M. Ochei
307. Assessment of Heavy Metal Contamination and Its Impact on Water Quality and Aquatic Life in Mine Surface Plant Areas K. Chimanga et al.
308. Optimizing Agricultural Drought Monitoring in East Africa: Evaluating Integrated Soil Moisture and Vegetation Health Index (SM-VHI) A. Maniraho et al.
309. Utilizing machine learning to optimize agricultural inputs for improved rice production benefits T. Liu et al.
310. Early fault detection system for sugar mill machines through various machine learning approach T. Baladraf et al.
311. Quartile Regression and Ensemble Models for Extreme Events of Multi-Time Step-Ahead Monthly Reservoir Inflow Forecasting J. Weekaew et al.
312. Credibility study of vehicle dynamics model based on virtual-reality fusion test Q. Song et al.
313. Pseudo-Sample Generation and Self-Supervised Framework for Infrared Dim and Small Target Detection J. Guo et al.
314. Predictive modeling of heavy metal lead and cadmium adsorption on biochar based on machine learning C. Zhao et al.
315. Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review H. Arteaga-Arteaga et al.
316. Sensitivity analysis-based data snooping for general symmetric transformation of 3-D point sets B. Wang et al.
317. Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al.
318. Pitfalls and potential of high-throughput plant phenotyping platforms H. Poorter et al.
319. A novel stacking-based ensemble machine learning model for accurate user story effort estimation in scrum I. Fatima et al.
320. Validation of age estimation methods through the scapula in a Mediterranean non-adult population M. Nogueras López et al.
321. Collaborative modeling-based improved moving Kriging approach for low-cycle fatigue life reliability estimation of mechanical structures C. Zhu et al.
322. Efficacy of biochar as a catalyst for a Fenton-like reaction: Experimental, statistical and mathematical modeling analysis O. Rodríguez-Narvaez et al.
323. A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta N. Sunusi et al.
324. Determination of PCM liquid fraction in solidification process by image processing technique, experimental study and numerical validation A. Boroojerdian & H. Nemati
325. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study S. Yin et al.
326. Comparative Study of Steady-State Efficiency Maps and Time-Stepping Methods for Induction Motor Drive Cycle Performance Analysis K. Heidarikani et al.
327. Machine learning-assisted design of inverted gradient multiring optical fibres for flat-top beam generation M. Dziuba-Kozieł et al.
328. A Novel Time-Domain Scheme for Calculating the Wideband Transmission Characteristics of Dielectric-Background Multilayer Metal Meshes M. Chen et al.
329. Predictive modeling for savonius hydrokinetic turbine performance: a machine learning investigation M. Khojasteh et al.
330. Development of Adaptive Neuro-Fuzzy Inference System for Assessing Industry Leadership in Accident Situations I. Cerqueira et al.
331. A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms P. Mathur et al.
332. Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks J. Richardson et al.
333. Accuracy and Performance of Machine Learning Methodologies: Novel Assessments of Country Pandemic Vulnerability Based on Non-Pandemic Predictors M. Vlajnic & S. Simske
334. Simultaneous multi-well production forecasting and operational strategy awareness in heterogeneous reservoirs: a spatiotemporal attention-enhanced multi-graph convolutional network S. Lu et al.
335. Data Driven Decision Making for Renal Function Assessment . Abdel Rahman Hossam Gad and Hazem M. El Bakry
336. Prediction of Total Soluble Solids Content Using Tomato Characteristics: Comparison Artificial Neural Network vs. Multiple Linear Regression A. Kabaş et al.
337. High-Precision Spatial Interpolation of Meteorological Variables in Complex Terrain Using Machine Learning Methods S. Li et al.
338. Research on Maneuvering Motion Prediction for Intelligent Ships Based on LSTM-Multi-Head Attention Model D. Liu et al.
339. Evans–Polanyi-like Formulations for Rapidly Predicting Key Depolymerization Barriers in Xylopyranoses: Toward the Faster Development of Kinetic Models for Hemicellulose Pyrolysis L. Ayarde-Henríquez et al.
340. Empowering 5G SBA security: Time series transformer for HTTP/2 anomaly detection N. Wehbe et al.
341. Trends and Variability of Drought in Northern South America Between 1982 and 2022 H. Arregocés et al.
342. Streamflow Simulation and Interpretability Analysis in Multi-Climatic Basins Using Physics-Based and Data-Driven Hybrid Models J. Chen et al.
343. Robust Machine Learning for Predicting Thermal Stability of Metal-Organic Framework H. Azies et al.
344. A hybrid four-stage detection model to pre-identify the sustainable manufacturing process of Li-ion battery pack Y. Chen et al.
345. Structural study of graben within the Margaritifer Terra region of Mars S. Basu et al.
346. Drag acting on suspended sediment increased by microbial colonization N. Zhang et al.
347. Impacts of different forest fire management policies and fuel treatment models on forest fire risk in boreal forest of China T. Hu et al.
348. Including the invisible: deep depth-integrated chlorophyll estimates from remote sensing may assist in identifying biologically important areas in oligotrophic coastal margins R. Schoeman et al.
349. A Hybrid Self-Attention LSTM-XGBoost Model for Cardiovascular Disease Risk Prediction in Patients with Obstructive Sleep Apnea Using Sleep Heart Rate Variability Analysis P. Pratyasha & A. Padhy
350. Recipe Based Anomaly Detection with Adaptable Learning: Implications on Sustainable Smart Manufacturing J. Lee et al.
351. A Multi-Platform Tool for Modified Q-slope Assessment in Rock Engineering: Validation from the Himalayas K. Gupta et al.
352. $$\beta$$-ray induced X-ray spectroscopy for tritium analysis with back propagation neural network H. Huang et al.
353. Spatiotemporal variability of methane concentrations driven by ruminant livestock in Mongolia: insights from satellite observations and machine learning C. Bao et al.
354. Advanced Predictive Modeling of Tight Gas Production Leveraging Transfer Learning Techniques X. Ma et al.
355. Anomaly detection with a container-based stream processing framework for Industrial Internet of Things R. Wang et al.
356. Biomass Higher Heating Value Estimation: A Comparative Analysis of Machine Learning Models I. Brandić et al.
357. Abnormal Energy Consumption Diagnosis Method of Oilfields Based on Multi-Model Ensemble Learning W. Li et al.
358. MDNet: Multi-Granularity Deep Learner for Marine Traffic Scene Dehazing Under Low Visibility N. Wang et al.
359. Comparison of ARIMA and FB-Prophet time series models for the prediction of national and regional malaria incidence in Uganda B. Fuller et al.
360. Segment-Based Graph Convolutional Network for Imputation of Missing Values Caused by Sensor Fault and Its Application in Aeroengines Z. Zhang et al.
361. Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systems R. Wu et al.
362. Strategic Brazilian Minerals Applied in the Photocatalytic Ozonation of Rhodamine B Using a Green Lithium Niobate Nanocatalyst Supported on Silica: Kinetic, Thermodynamic, Mechanism, Machine Learning, and Ecotoxicity Study M. da Costa et al.
363. Forecasting Smart Tourism Visitor Flows Leveraging Big Data Technology Assistance G. Tong
364. Waste-Derived Composite Selection for Sustainable Automotive Brake Friction Materials Using Novel MEREC-RAM Decision Framework R. Kumar et al.
365. Machine learning for water quality prediction and uncertainty assessment T. Mengistu et al.
366. Comparative analysis of surface albedo estimation methods using Landsat 8 and 9 satellite imagery over multiple ground observation sites E. Ozdemir
367. EESyn-CTP: Edge–End Collaboration for Patient-Friendly CTP Image Synthesis Y. Wang et al.
368. Research on Cam–Kalm Automatic Tracking Technology of Low, Slow, and Small Target Based on Gm-APD LiDAR D. Guo et al.
369. Optimal Configuration of Physical Process Parameterization Scheme Combination for Simulating Meteorological Variables in Weather Research and Forecasting Model: Based on Orthogonal Experimental Design and Comprehensive Evaluation Method Z. Li et al.
370. When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review A. Boutayeb et al.
371. Systematic Literature Review on Application of Learning-Based Approaches in Continuous Integration A. Arani et al.
372. Single-shot polarization-wavelength multiplexed intensity diffraction tomography with optimized reconstruction fidelity H. Chen et al.
373. Novel solar forecasting scheme modelled by mixer dual path network and based on sky images T. Zhu et al.
374. Detoxification of potentially eutrophic substances using P-32 powdered activated carbon I. Tetteh & S. Nandomah
375. A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study G. Cassales et al.
376. Machine Learning Approaches to Predicting Pacemaker Battery Life S. Neupane & T. Goswami
377. AI-Driven Integration of Sentinel-1 SAR for High-Resolution Soil Water Content Estimation to Enhance Precision Irrigation in Smallholder Maize Systems, Vhembe District G. Nxumalo et al.
378. Global performance benchmarking of artificial intelligence models in atmospheric river forecasting L. Zhang et al.
379. Explainable AI analysis of printing parameter effects on life cycle assessment for sustainable material-extrusion additive manufacturing Y. Zhu et al.
380. Seismic hazard analysis and financial impact assessment of railway infrastructure in the US West Coast: A machine learning approach P. Maneerat et al.
381. Predicting and screening high-performance polyimide membranes using negative correlation based deep ensemble methods R. Xi et al.
382. Hyperspectral Inversion of Apple Leaf Nitrogen Across Phenological Stages Based on an Optimized XGBoost Model R. Xi et al.
383. Perovskite band gap prediction based on multi-feature crystal graph convolutional neural network B. Lv et al.
384. Modelling of crowd evacuation behavior considering the effects of drunken gait C. Chen et al.
385. Effort estimation in scrum using AI M. Rasheed et al.
386. A novel methodology to characterize beat-to-beat alternations in whole-cell calcium currents X. Marimon et al.
387. Nusselt number predictive model for Taylor–Couette flow with circumferential grooves under different operating parameters K. Tang et al.
388. Multi-Parameter Prediction of Inkjet Droplet Characteristics Based on Dual-Pulse Waveform and Ensemble Learning S. Tang et al.
389. Prediction of Activity and Selectivity Profiles of Sigma Receptor Ligands Using Machine Learning Approaches L. Lombardo et al.
390. The use of simple structural parameters of energetic metal-organic frameworks to assess their density Z. Dalirandeh et al.
391. Integrating SPT and pressuremeter test results: A comprehensive review and regression-based correlation study for sub-soil characterisation S. Nandi et al.
392. Comparison of Nature-Inspired Optimization Models and Robust Machine-Learning Approaches in Predicting the Sustainable Building Energy Consumption: Case of Multivariate Energy Performance Dataset M. Kaya Keleş et al.
393. Dental implant brand and angle identification using deep neural networks B. Tiryaki et al.
394. Particle and bulk media characteristics of food waste compost-based biomedia by dynamic high-temperature aerobic composting process C. Ahn et al.
395. Optimization method for collision avoidance paths of unmanned vessels under ship position prediction uncertainty B. Wu et al.
396. Data-Driven Approaches for Vibroacoustic Localization of Leaks in Water Distribution Networks R. Liu et al.
397. Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs W. Feng et al.
398. Improved digital mapping of soil texture using the kernel temperature–vegetation dryness index and adaptive boosting X. Zhai et al.
399. Dating ancient manuscripts using radiocarbon and AI-based writing style analysis M. Popović et al.
400. Numerical Analysis of Water–Sediment Flow Fields within the Intake Structure of Pumping Station under Different Hydraulic Conditions C. Xu et al.
401. Cable Broken Wire Signal Recognition Based on Convolutional Neural Network W. Zhu et al.
402. From prediction to protection: A network digital twin framework for traffic monitoring and anomaly detection J. Sengendo & F. Granelli
403. Single-Step Allowable Action Threshold Determination of Renewable Energy Automatic Generation Control Using Model-Based and Data-Driven Method Z. Wang et al.
404. Modeling Spatio-Temporal Rainfall Distribution in Beni–Irumu, Democratic Republic of Congo: Insights from CHIRPS and CMIP6 under the SSP5-8.5 Scenario V. Posite et al.
405. Hypergeometric behavior of metal oxide varistors in DC circuit breakers Y. Liu et al.
406. Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps O. Agwu et al.
407. A Multi-Shot Approach for Spatial Resolution Improvement of Multispectral Images from an MSFA Sensor J. Yao et al.
408. Dynamic motion-blur suppression and super-resolution localization of UAV targets using single-photon LiDAR under ultra-low SNR D. Guo et al.
409. A multi-feature alignment fusion neural network model for red blood cell aggregation classification using ultrasonic radiofrequency data of blood J. Guo et al.
410. Projecting future exposure to compound precipitation and wind extremes using Copula methods with Bayesian model averaging S. Liu et al.
411. AutoBoost-IoT: A Hybrid Model for Intrusion Detection in IoT Networks M. Moucharraf et al.
412. Remaining lifespan prediction on multiple types of hard disks under conditions of data imbalance Q. Wang et al.
413. Extending logistic growth for smart agriculture: A four-dimensional model integrating photosynthesis and resource efficiency N. Kharraz & I. Szabó
414. Water resource asset assessment and financial decision support based on multi-source remote sensing data L. Yang et al.
415. Investigation of Surface Passivation Mechanisms in CrCoNi Alloys via Interpretable Machine Learning H. Wan et al.
416. Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer M. Abdulhamid Karabiyik et al.
417. Machine learning-based prediction and classification of seawater intrusion in the hyper-arid coastal aquifer of Fujairah, UAE A. Kassem et al.
418. A data-driven geometry-specific surrogate model for forecasting the load–displacement behavior until ductile fracture S. Dey & R. Kiran
419. Missing log prediction using machine learning perspectives: A case study from upper Assam basin B. Mukherjee et al.
420. Two-dimensional differential form of distributed Xinanjiang model J. Zhao et al.
421. TCN-GRU: A Diagnostic Model for the Evaporation Duct Height Z. Cheng et al.
422. Integrating computational 3D-QSAR and pharmacophore modelling in diverse natural phytochemicals library for targeted therapy against breast cancer estrogen receptors S. Islam et al.
423. Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications M. Haque et al.
424. Study on the Impact of Design Parameters of Photovoltaic Combined Vacuum Glazing (PVCVG) on the Energy Consumption of Buildings in Lhasa L. Zhong et al.
425. Comparative analysis of different prediction methods for TEC in China based on deep learning X. Ren et al.
426. Leveraging RSSI and RTT for Accurate Distance Prediction in Bluetooth HC-05 with Multivariate Linear Regression Model F. Baskoro et al.
427. Characterizing streamflow regimes using a distributed model for sustainable resource management in the humid tropics A. Strauch et al.
428. Prediction of key parameters in aquaculture biofilters using a physics-informed spatial self-attention gated recurrent unit model L. Jiang et al.
429. Mobility-Aware Reputation-Based Hierarchical Federated Learning for Internet of Vehicles D. Wang et al.
430. Explainable machine learning-driven predictive performance and process parameter optimization for caproic acid production H. Ma et al.
431. Model predictive star tracking control for ground-based telescopes: the Telescopio Nazionale Galileo case G. Basile et al.
432. Prediction of combined cycle power plant electrical output power based on generalized dynamic interval type-2 fuzzy neural network Z. Xu et al.
433. Theoretical study on oxygen evolution reaction mechanism of double rare earth europium-doped graphene under hydroxyl modification in alkaline environment T. Xu et al.
434. Improved Relative Permeability Models Incorporating Water Film Effects in Low and Ultra-Low Permeability Reservoirs Z. Qin et al.
435. Evaluating terrestrial laser scanning for structural characterization of mangrove forests in Southeastern Brazil T. Matta et al.
436. Zero-Norm ELM with Non-convex Quadratic Loss Function for Sparse and Robust Regression X. Wang et al.
437. Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan Z. Doost et al.
438. BenchMetrics Prob: benchmarking of probabilistic error/loss performance evaluation instruments for binary classification problems G. Canbek
439. Research on Bo-BiLSTM-Based Synchronous Load Transfer Control Technology for Distribution Networks C. Long et al.
440. Multi-Sensor Data Fusion: An Overview of Concepts, Methods, and Classifications H. Belgacem et al.
441. Bias corrections of ERA5 and ERA5-land temperature using automatic weather station data in the Higher Central Himalaya: implications for hydro-meteorological and glaciological research S. Satyapragyan et al.
442. Ultimate strength prediction for stiffened plates under combined compression, shear and lateral loads based on design diagram and machine learning model Z. Wang et al.
443. Innovative Work Behavior in Response to Technology Readiness: The Role of Career Adaptability in the Ghanaian Public Sector E. Kumi et al.
444. Application and Parameter Optimization of Electro-Kinetic Geosynthetics Electrodes Based on the Wild Horse Optimizer in Horizontal Electric Field Sludge Dewatering Y. Shen et al.
445. Feature engineering and pruning in neural networks for urban climate instability prediction N. Christakis & D. Drikakis
446. Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models B. Mothemela et al.
447. A High-Performance and Interpretable pKa Prediction Framework Integrating Count-Based Fingerprints and Ensemble Learning H. Shen et al.
448. Simulating hurricane-induced compound flooding via spatiotemporal analysis of satellite-derived inundation maps A. Rostami et al.
449. Dynamic Modeling of Bacterial Cellulose Production Using Combined Substrate- and Biomass-Dependent Kinetics A. Rincón et al.
450. Numerical Analysis of Submerged Horizontal Plate Wave Energy Converter Device Considering Float Effects R. Batista et al.
451. Spatial Downscaling of Sea Level Anomaly Using a Deep Separable Distillation Network S. Shi et al.
452. The Pick-the-Winner-Picker Heuristic: Preference for Categorically Correct Forecasts J. Naborn & J. Bogard
453. Analysis and Modeling of Statistical Distribution Characteristics for Multi-Aspect SAR Images R. Zhu et al.
454. Evacuation planning tools for river flooding: a case study of Matsukawa River M. Sakai et al.
455. Matilda v1.0: An R package for probabilistic climate projections using a reduced complexity climate model J. Brown et al.
456. Calibration-enhanced multi-view RGB-D vision for robust recognition and 3D localization of strawberries under occlusions S. Hu et al.
457. Deep Learning for Bidirectional Translation between Molecular Structures and Vibrational Spectra T. Hu et al.
458. Improving photovoltaic power forecasting accuracy: a comparative study of hybrid models and PVGIS M. Mardani et al.
459. Complex Network and QTAIM Analyses Reveal the Dominance of Structural over Electronic Modulation in Supercritical Water under Ion-Free and Ionic Conditions A. Nogueira et al.
460. Development of a Machine Learning Model That Uses Mine Influents to Soil and Aquarium Water to Predict Future Changes K. Chimanga et al.
461. Integration of Watershed eco-physical health through Algorithmic game theory and supervised machine learning A. Nasiri Khiavi et al.
462. G-code evaluation in CNC milling to predict energy consumption through Machine Learning A. Schmitt et al.
463. High Performance Quad Port Compact MIMO Antenna for 38 GHz 5G Application with Regression Machine Learning Prediction M. Haque et al.
464. Development of Regression Models for COVID-19 Trends in Malaysia S. Mutalib et al.
465. Improving flood-prone areas mapping using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms S. Razavi-Termeh et al.
466. Scenario-Based Stochastic Optimization for Renewable Integration Under Forecast Uncertainty: A South African Power System Case Study M. Osifeko & J. Munda
467. Machine Learning for Methane Detection and Quantification From Space: A survey E. Tiemann et al.
468. Assessment of the Flood Control Capacity of Large Regulated Lakes Using an Enhanced 2D Hydrodynamic Model Y. Xiao et al.
469. Capturing Curved Lag Plots in Dye Adsorption Kinetics Using a Generalized Three-State Discrete-Time Markov Chain Model D. Lei & J. Huang
470. StockAICloud: AI-based sustainable and scalable stock price prediction framework using serverless cloud computing H. Wang et al.
471. Echo-SMADS: A hierarchical planning model for predicting ejection fraction using echocardiography Y. Zhou et al.
472. Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation S. Kim et al.
473. Prediction of agricultural drought behavior using the Long Short-Term Memory Network (LSTM) in the central area of the Gulf of Mexico F. Salas-Martínez et al.
474. Beyond R2: The Role of Polynomial Degree in Modeling External Temperature and Its Impact on Heat-Pump Energy Demand M. Masiukiewicz et al.
475. Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study B. Langenberger et al.
476. Evaluating a Simple Algorithm for an Evapotranspiration Retrieval Energy Balance Model in Mediterranean Citrus Orchards K. Salamanca Lopez et al.
477. Adaptive hybrid Kalman filter for attitude motion parameters estimation of space non-cooperative tumbling target Y. Wei et al.
478. Velocity-Adaptive Electrohydrodynamic Printing for Microscale Conformal Circuits on Freeform Curved Surfaces J. Yue et al.
479. Modelling and control of hydrogen production processes based on electrolysis E. Mironov
480. Optimizing arsenic removal from groundwater using continuous flow electrocoagulation with iron and aluminum electrodes: An experimental and modeling approach K. Tenodi et al.
481. New objective functions for streamflow calibrations to specific model applications H. Il Choi
482. Vision through Obstacles—3D Geometric Reconstruction and Evaluation of Neural Radiance Fields (NeRFs) I. Petrovska & B. Jutzi
483. Machine learning based compact MIMO antenna array for 38 GHz millimeter wave application with robust isolation and high efficiency performance M. Haque et al.
484. Predicting solar photovoltaic generation impacted by severe wildfire smoke F. Bartram et al.
485. Spatial Distribution and Prediction of Cu and Mn in Helan Farmland Soil Based on GIS and Machine Learning L. Ma et al.
486. Multi-Scale Temporal Convolutional Networks for Effluent COD Prediction in Industrial Wastewater Y. Geng et al.
487. A Comprehensive Review on Data‐Driven Methods of Lithium‐Ion Batteries State‐of‐Health Forecasting T. Pham et al.
488. Explainable machine learning for catalyst-process coupling in transesterification for biodiesel production: data-driven discovery of precursor influence and optimization pathways A. Amenaghawon et al.
489. Modeling the Impact of Urban and Industrial Pollution on the Quality of Surface Water in Intermittent Rivers in a Semi-Arid Mediterranean Climate A. Bouriqi et al.
490. Near-lossless EEG signal compression using a convolutional autoencoder: Case study for 256-channel binocular rivalry dataset M. Kukrál et al.
491. Developing a New Expected Goals Metric to Quantify Performance in a Virtual Reality Soccer Goalkeeping App Called CleanSheet M. Simpson & C. Craig
492. Robust Localization of Flange Interface for LNG Tanker Loading and Unloading Under Variable Illumination a Fusion Approach of Monocular Vision and LiDAR M. Liu et al.
493. Temporal-enhanced semiconductor yield prediction by combining equipment usage data and accumulated cycle time data Y. Bae et al.
494. Combinatorial Component Day-Ahead Load Forecasting through Unanchored Time Series Chain Evaluation D. Kontogiannis et al.
495. The customer-based supplier selection and order allocation problem based on the waste management and resilience dimensions: A data-driven approach B. Rezaie et al.
496. Machine Learning-Based Water Level Forecast in a Dam Reservoir: A Case Study of Karaçomak Dam in the Kızılırmak Basin, Türkiye S. Güneş Şen
497. A compositional approach to modeling cause-specific mortality with zero counts Z. Dong et al.
498. Hydraulic conveyance enhancement and flood mitigation in the Bagjola drainage canal: insights from 1D Hydrodynamic modelling and dredging scenarios A. Kumar & R. Remesan
499. GeoRF: Geometric Constrained RaDAR Fields W. Sheng et al.
500. Modeling Ecological Risk in Bottom Sediments Using Predictive Data Analytics: Implications for Energy Systems B. Przysucha et al.
501. Automated and manual model creation workflows are equally reliable for virtual mechanical testing of ovine bone and fracture healing M. Bahrami et al.
502. Investigating the Changes in the Groundwater Flow Regime During the Most Recent High Floods in Budapest F. Wagner
503. Assessing the potential of machine learning for predicting the nonlinear refractive index of glasses M. Saraiva & C. Mendonça
504. Ancient paintings inpainting based on dual encoders and contextual information Z. Sun et al.
505. Comparative assessment of machine learning and band ratios for robust water quality assessment in inland waters L. Cáceres et al.
506. Occupancy prediction: A comparative study of static and MOTIF time series features using WiFi Syslog data B. Abdelghani et al.
507. Pixel-wise feature fusion in gully susceptibility: A comparison of feed-forward neural networks and ensemble (voting, stacking) models V. Nwazelibe et al.
508. Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review A. ZhuParris et al.
509. A Deep Learning Approach to Real-time Electricity Load Forecasting A. AL-HAMİD & S. SAVAŞ
510. Estimation of the Root Mean Square of the Residuals of Sine Fitting in the Presence of Phase Noise or Jitter F. Alegria
511. Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence N. Raj & S. Pasfield-Neofitou
512. Evaluation of different mathematical models on fitting the in vitro gas production parameters in beef cattle J. Wang et al.
513. Investigating the Impact of Enhanced Images on 3D Reconstruction of non Lambertian Object Using Neural Radiance Fields R. Arif et al.
514. Frequency Chirp Suppression of Directly Modulated Lasers Based on Look-Up Table Nonlinear Predistortion Combining Equivalent Circuit Model Q. Ding et al.
515. Review of Segmentation Methods for Coastline Detection in SAR Images M. Ciecholewski
516. Grey-box model for model predictive control of buildings P. Klanatsky et al.
517. Impacts of spatial imputation on location-allocation problem solutions D. Kim et al.
518. A Generalized Linear Model and Machine Learning Approach for Predicting the Frequency and Severity of Cargo Insurance in Thailand’s Border Trade Context P. Panjee & S. Amornsawadwatana
519. Multispecies design decision-making: A hybrid computational model for ecological building envelope optimization and evaluation S. Selvan et al.
520. Combining data-driven and model-driven methods to support digital-twin engineering design: A case study for the (Re)design optimization of a quadcopter A. Daareyni et al.
521. Analysis of Doppler Audio Signals from the Carotid Artery T. Gopal et al.
522. Late Triggering in Tagged Magnetic Resonance Imaging for in vivo Characterization of Brain Biomechanics During Head Rotation Y. Lu et al.
523. Advanced Bearing-Fault Diagnosis and Classification Using Mel-Scalograms and FOX-Optimized ANN M. Siddique et al.
524. Retrieval of high-resolution aerosol optical depth (AOD) using Landsat 8 imageries over different LULC classes over a city along Indo-Gangetic Plain, India R. Singh et al.
525. Reliability Analysis of a 2D Model of a Solar Still Developed Using Comsol^® Multiphysics M. Randrianantenaina et al.
526. Enhanced Spatiotemporal Relationship-Guided Deep Learning for Water Quality Prediction R. Chen et al.
527. Transfer Learning Predicted the Self-Diffusion Coefficients of Light-Gas in Metal/Covalent Organic Frameworks P. Tianzi et al.
528. Evaluating urban traffic dynamics: a study of mobility in Vellore city S. Parkavi & A. Parthiban
529. Machine learning-driven rainfall forecasting model for sustainable and adaptive infrastructure planning H. Alif et al.
530. Near-Infrared Spectroscopy for Online Glucose Detection in Fermentation Processes: Transflectance/Transmission Sensor Evaluation and Modeling Optimization S. Yang et al.
531. Prediction of soil heavy metal content around mine tailings using multiple methods combined with transformed hyperspectral reflectance data C. Xiang et al.
532. Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model C. Zhang & M. Yang
533. Research on Storage Grain Temperature Prediction Method Based on FTA-CNN-SE-LSTM with Dual-Domain Data Augmentation and Deep Learning H. Peng et al.
534. Comparative Evaluation of Ensemble Machine Learning Models for Methane Production from Anaerobic Digestion D. Radočaj & M. Jurišić
535. Optimising mini-grid efficiency in Ghana: A techno-economic analysis of hydrogen production from redundant solar energy for fuel cell power generation L. Osei et al.
536. An explainable deep learning approach for hydropower production forecasting: Evidence from 116 plants in China P. Du et al.
537. Tailored group contribution methods designed using machine learning to predict enthalpies in carboxylic acids and anhydrides J. Arzola-Flores et al.
538. Strength estimation of textured polymer layer-reinforced materials in practical marine engineering based on physical experiments and artificial intelligence modelling D. Shi et al.
539. Space-time pattern mining for municipal-level short-term population forecasting in Serbia S. Lović Obradović et al.
540. Energy forecasting models using different algorithm and modeling of hybrid renewable resources (HRE) for educational building: a comprehensive study M. Thulasingam & A. Periyanayagam
541. A novel data-driven strategy for rapid design of synergistic heat treatment in titanium bimetal S. Li et al.
542. IUPAC-GPT: an IUPAC-based large-scale molecular pre-trained model for property prediction and molecule generation J. Mao et al.
543. Geostatistical and multivariate analysis of phosphate evolution and its relationship with heavy metals in shallow groundwater in a Semi-Arid Basin S. Wali et al.
544. Design and Application Research of a UAV-Based Road Illuminance Measurement System S. Xu et al.
545. Modeling radical scavenging activity using molecular descriptors of unclassified compounds H. Kim et al.
546. Evaluating Nanofiltration and Reverse Osmosis Membranes for Pharmaceutically Active Compounds Removal: A Solution Diffusion Model Approach Y. Shin et al.
547. Explainable Data-Driven Method Combined with Bayesian Filtering for Remaining Useful Lifetime Prediction of Aircraft Engines Using NASA CMAPSS Datasets F. Maulana et al.
548. Magnetomechanical model for contact damage based on magnetic memory D. Wang et al.
549. Enhancing the Accuracy of Lake Water Level Prediction: A Novel Approach Using Hybrid CNN-GRU-LSTM Models and Meteorological Data A. Molavi & C. Santos
550. A multilevel cooperative attention network of precise quantitative analysis for predicting ractopamine concentration via adaptive weighted feature selection and multichannel feature fusion T. Yin et al.
551. Size or diversity? Synthetic dataset recommendations for machine learning heating energy prediction models in early design stages for residential buildings X. Wang et al.
552. Data-driven explainable artificial intelligence models for predicting CO2 uptake in metal–organic frameworks M. Shaida et al.
553. Maximum pressure of water column separation phenomenon applying the crow search algorithm S. Safari et al.
554. Bifurcated adversarial networks for intersectional fairness in graph neural network recommendations R. Yang et al.
555. A modified sliding mode controller based on fuzzy logic to control the longitudinal dynamics of the autonomous vehicle R. Alika et al.
556. R2 should not be used to describe behavioral‐economic discounting and demand models B. Gelino et al.
557. Advancing regional water quality modelling: integrating spatial machine learning with large-scale catchment data M. Jemeljanova et al.
558. Comparative Forecasting of Some Key Economic Indicators Using Artificial Neural Networks and Ordinary Differential Equations: A Case Study of the Turkish Economy B. Daşbaşı & M. Taşyürek
559. Comment on Williams (2025): “Friends don't let friends use NSE or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice” M. Clark et al.
560. Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting D. El-Shahat et al.
561. Research on a Prediction Model for Northern Cold Climate Millet Yield per Unit Area Based on IWOA-BP D. Zhang et al.
562. A New Approach to Purchasing Power: Discounted Gross Domestic Product Per Capita C. Gerede
563. Fast Field Strength Prediction Using Modern Machine Learning in European Cities From Few RF-EMF Measurements: A Neural Tangent Kernel Perspective M. Mallik et al.
564. Machine learning-driven surface water quality prediction: an intuitive GUI solution for forecasting TDS and DO levels B. Siddiq et al.
565. Meta‐Learning‐Based Lightweight Method for Food Calorie Estimation J. Ma et al.
566. Multisensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification S. Ren et al.
567. Forecasting Civil Unrest in South Africa Using Social Media Data: A Hybrid Machine Learning Approach R. Chitengu et al.
568. A Hybrid Fault Early-Warning Method Based on Improved Bees Algorithm-Optimized Categorical Boosting and Kernel Density Estimation K. Liu et al.
569. An accuracy-level method for robust evaluation in predictive analytics M. Agustini et al.
570. Monitoring ryegrass-clover grasslands with multi-spectral UAV imagery will improve the sustainability of small-and medium-sized livestock farmers in the northern Peruvian highlands L. Vallejos-Fernández et al.
571. Hybrid modeling of structure extension and instance weighting for naive Bayes L. Yu et al.
572. Numerical Modeling-Based Comparison of Leap-Frog and Implicit Crank-Nicolson Schemes for Instantaneous Spill of Pollutant in Rivers . Fatima M.A. Al-khafaji & . Hussein A. M. Al-Zubaidi
573. Profitability and cost-effectiveness analysis of brucellosis control in Armenia: A One Health approach U. Anyanwu et al.
574. A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness Á. Lloret et al.
575. Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators M. Kulisz et al.
576. A novel mechanism-data hybrid model with minute-level dynamic response in syngas prediction of coal water slurry gasifiers J. Gao et al.
577. IMPACT OF URBAN DEVELOPMENT ON UV EXPOSURE: A CLUSTERING AND MACHINE LEARNING ASSESSMENT
578. Image discrimination robustness of classical image quality metrics: an analysis on MAE, MSE, ERGAS, LMSE, SSIM, SAM, UIQI, PSNR, NIQE, PIQE, SNR, VIF, FSIM, GMSD, and NCC P. Civicioglu & E. Besdok
579. Product collaborative filtering based recommendation systems for large-scale E-commerce T. Trinh et al.
580. Comparative analysis of deep learning and machine learning-based models for simultaneous prediction of minerals in perilla (Perilla frutescens L.) seeds using near-infrared reflectance spectroscopy N. Singh et al.
581. Cost-effective and portable device for partial shading assessment in photovoltaic modules using RGB imaging M. de Jesus dos Santos Rodrigues et al.
582. From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies W. Deng et al.
583. Development of Regression Model for Predicting the Maximum Static Friction Force of Tractors with a Front-End Loader S. Kim et al.
584. Ordinary kriging as a data augmentation technique for enhanced total dissolved solids prediction in tropical wetlands using Sentinel-2 and machine learning D. Mejia Ávila et al.
585. Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes D. Escobar-González et al.
586. Evolution and Degradation Patterns of Electrochemical Cells Based on the Analysis of Interfacial Phenomena at Li Metal Anode/Electrolyte Interfaces C. Guerrero Navarro & P. Balbuena
587. High-Performance MoSi2-20 mol % Mo5Si3 Composite Ceramics: Sintering Preparation, Experimental Characterization, and Theoretical Calculation Y. Yu et al.
588. PREDICTING EXHIBITION SUCCESS WITH NEURAL NETWORKS I. Pradhan et al.
589. A Triple-Optimized Extreme Learning Machine Model for Power Load Forecasting H. Gao et al.
590. Deep Reinforcement Learning-Empowered Cost-Effective Federated Video Surveillance Management Framework D. Bazarov Ravshan Ugli et al.
591. High-precision shape reconstruction for optical fiber sensors based on cubic spline interpolation and tangent angle recursion Y. Liu & H. Ji
592. Identifying causes of errors between two wave-related data using performance metrics T. Iida
593. Experimental Comparative Study on Self-Imputation Methods and Their Quality Assessment for Monthly River Flow Data with Gaps: Case Study to Mures River Z. Magyari-Sáska et al.
594. Exergy analysis and cold gas efficiency evaluation for hydrogen generation through algae biomass steam gasification coupled with water-gas shift reaction N. Tavakoli & M. Saidi
595. Optimisation of an oxygen supply prediction model based on the K-nearest neighbours (KNN) algorithm using the Pearson correlation coefficient Q. Peng et al.
596. Predictive Modeling of Urban Lake Water Quality Using Machine Learning: A 20-Year Study T. Miller et al.
597. Physics-informed structural diagnostics of model–data agreement beyond scalar metrics H. Haddadi et al.
598. RetroSight and ForeSight ensemble model (ReForM) for improved time series prediction: A case study on river temperature prediction F. Bagheri et al.
599. Near-Infrared Reflectance Spectroscopy Calibration for Trypsin Inhibitor in Soybean Seed and Meal E. Fletcher et al.
600. Faster R-CNN approach for estimating global QRS duration in electrocardiograms with a limited quantity of annotated data S. Abdel-Rahman et al.
601. A physics-driven hybrid transformer model for hydrologic simulation under nonstationary environmental conditions H. Zhang et al.
602. Enhancing Nickel Recovery from Laterite Ores via High-Pressure Acid Leaching: Machine Learning and Design of Experiments for Process Optimization and Environmental Sustainability B. Surya et al.
603. Interpretable CNN-based prediction of mechanical properties using multimodal laser ultrasonic features and process parameters X. Mao et al.
604. Support Vector Regression Prediction of Dye Saturation in Recycled PET/PCT Microfibers for Deep Black Shade H. Cho et al.
605. A Distorted-Image Quality Assessment Algorithm Based on a Sparse Structure and Subjective Perception Y. Yang et al.
606. LiCondAI: A Machine Learning Model for Predicting Lithium-Ion Conductivity in Solid Electrolytes B. Paul et al.
607. Research on the influencing factors and prediction model of carbon storage of urban forest in Harbin, China P. Cui et al.
608. Deep learning-based dynamic forecasting method and application for ultra-deep fractured reservoir production Z. Deng et al.
609. Forecasting of Türkiye's industrial wood production via some trend analysis tools S. Tiryaki
610. End-to-end cryo-EM complex structure determination with high accuracy and ultra-fast speed J. Wang et al.
611. Estimation of the Concentration of XCO2 from Thermal Infrared Satellite Data Based on Ensemble Learning X. Gong et al.
612. Meta-LSTR: Meta-Learning with Long Short-Term Transformer for futures volatility prediction Y. Chen et al.
613. FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading O. Abramovich et al.
614. The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems K. Romanenko et al.
615. Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects M. Dehghanpour Abyaneh et al.
616. Interpretable analysis of public library service outcomes based on ensemble learning models: Data study from China (2007–2021) Q. Ding et al.
617. Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions L. Zhang et al.
618. Equivalences of Freight Trip Generation Functional Forms: Formulations, Approximations and Error Formalization Issues J. Gonzalez-Feliu
619. Analysis of thermal characteristics and operating parameters during the food cold chain delivery process S. Lee et al.
620. Simulating tectonic stress fields in mineralization dynamics using a deep neural networks-based surrogate model F. Xiao et al.
621. Application of Image Classification Based on Improved LSTM in Internet Reading Therapy Platform J. Xiong et al.
622. The Long and Winding Road to Real-Life Experiments: Remote Assessment of Executive Functions with Computerized Games—Results from 8 Years of Naturalistic Interventions M. Vladisauskas et al.
623. An Intelligent Chinese Driver Road Performance Assessment Model (RPAM) for Future Licensing Examinations J. Gong et al.
624. Modeling soil water and salinity dynamics in mangrove swamp rice production system of Guinea Bissau, West Africa G. Garbanzo et al.
625. Soil organic carbon modeling in cropland under several climatic scenarios using machine learning in western India A. Adeel et al.
626. Electricity demand dichotomy in Rajasthan and Maharashtra: an economic comparative analysis M. Kukreti et al.
627. Regularized Gradient Statistics Improve Generative Deep Learning Models of Super Resolution Microscopy M. Abgaryan et al.
628. Discrete-Time Markov Chain-Based Adsorption Kinetic Model for Textile Exhaust Dyeing D. Lei & J. Huang
629. Storm surge-induced soil salinization and its impact on agriculture in the coastal area of the Indian Sundarban I. Barui et al.
630. Prediction model of PTO shaft fatigue damage considering sandy loam and loam in rotary-tillage operation M. Jang et al.
631. Human capital in asset pricing: A machine learning perspective on the six-factor model for Pakistan's equity market O. Siddiqui et al.
632. An Efficient and Interpretable Stacked Model for Wind Speed Estimation Based on Ensemble Learning Algorithms A. Jha et al.
633. Ensemble Methods for History Matching and Uncertainty Quantification With a Watershed Model M. Fienen et al.
634. Multi-Corpus Benchmarking of CNN and LSTM Models for Speaker Gender and Age Profiling J. Jorrin-Coz et al.
635. The Centroid Method for the Calibration of a Sectorized Digital Twin of an Arch Dam E. Conde López et al.
636. A novel waveform-based pixel decomposition method for farmland shelterbelts width extraction using Sentinel−2 multi-spectral and UAV RGB images X. Zhang et al.
637. Optimization using kriging metamodel and CMA-ES to improve temperature uniformity of electric vehicle liquid-cooled cylindrical Li-ion battery BTMS S. Park et al.
638. New Methodology for Evaluating Uncertainty in Mineral Resource Estimation J. Arias et al.
639. Investigating ICESat-2 ATL08 Terrain Height Estimation Performance and Affecting Factors: The Impact of Land Cover, Slope, and Acquisition Time E. Akturk et al.
640. Efficient Real-Time Sports Action Pose Estimation via EfficientPose and Temporal Graph Convolution Y. Ma et al.
641. Classification and prediction model of ginseng year based on visible-near infrared spectroscopy and machine learning Z. Fu & J. Cui
642. HCT: a hybrid CNN and transformer network for hyperspectral image super-resolution H. Wu et al.
643. Canopy Fuel Characteristics and Potential Fire Behavior in Dwarf Pine (Pinus pumila) Forests X. He et al.
644. Chitosan-Based Flocculant Heavy Metal Removal Prediction Using Machine Learning Models Z. Yaseen et al.
645. A review of model evaluation metrics for machine learning in genetics and genomics C. Miller et al.
646. Evaluating machine learning models for neonatal mortality prediction in data-scarce settings: a case study of Ghana F. Ayiah-Mensah et al.
647. Improving statistical obsolescence forecasting accuracy in the absence of covariate predictors through time-aware validation and binning strategy M. Sherwin et al.
648. Interpretable knowledge tracing via fine-grained multi-feature attribution H. Liang et al.
649. Advances in soil salinity diagnosis for mangrove swamp rice production in Guinea Bissau, West Africa G. Garbanzo et al.
650. Correlation of Surface Acoustic Wave (SAW) force myography sensor output with elbow joint torque M. Kohler et al.
651. Predicting patient setup shifts in daily radiotherapy using machine learning on phantom-based CBCT and kV/MV data A. Kumar et al.
652. AirTrace-SA: Air Pollution Tracing for Source Attribution W. Zhao et al.
653. Detection of False Data Injection Attacks: A Protected Federated Deep Learning Based on Encryption Mechanism C. Lin et al.
654. A simulation environment for UAV-based real-time condition monitoring of solar tower power plants A. Schnerring et al.
655. Cross-Validation of Surface Reflectance Between GF5-02 AHSI and EnMAP Across Diverse Land Cover Types S. Liu et al.
656. Machine learning prediction of stress intensity factors of corner cracks in adjacent holes R. Yahiaoui & S. Senhadji
657. Prediction of mass attenuation coefficients in mixed alkali and borosilicate glasses using machine learning approaches K. Abushahla & H. Arslan
658. Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination H. Archer et al.
659. The Impact of Dripline Parameters on Water Travel Time: A Predictive Modeling Study for Precision Irrigation G. Rodríguez & F. Hernandez
660. Development of a Model for Prediction of IoT Processor Power Utilization Using Instruction Dissection-Based Technique D. Yusuf et al.
661. Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment H. Santoso et al.
662. Future area expansion outweighs increasing drought risk for soybean in Europe C. Nendel et al.
663. Research on the high-performance computing method for the neutron diffusion spatiotemporal kinetics equation based on the convolutional neural network X. Li & H. Xie
664. Driven by Deformable Convolution and Multi-Plane Scale Constraint: A Hazy Image Dehazing–Stitching System S. Hu et al.
665. Collaborative model predictive control for indirect evaporative cooling systems in data centers based on dynamic hot-spot tracking J. Zhao et al.
666. Convolutional Neural Networks Applied to Antimony Quantification via Soil Laboratory Reflectance Spectroscopy in Northern Portugal: Opportunities and Challenges M. Carvalho et al.
667. Enhancing Semantic Forestry Segmentation Through Advanced Preprocessing With ML Models K. Wołk et al.
668. Evaluating the efficacy of hybrid deep learning models in assessing temporal night-time light trends for the cities of Cape Town, Durban and Johannesburg in South Africa Z. Mncube et al.
669. LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment S. Sardari et al.
670. Exploring the integration of thermal imaging technology with the data mining algorithms for precise prediction of honey and beeswax yield M. Kibar et al.
671. Wildfire spots analysis and forecasting: Evaluation of univariate and multivariate based on variational mode decomposition models V. Rocha et al.
672. High-frequency monitoring reveals recurrent extreme events in a tropical estuary I. Leite Costa et al.
673. Transfer learning approach to modeling multichannel gate-all-around nanosheet field-effect transistors under work function fluctuations S. Dash & Y. Li
674. Optimizing Bifacial Solar Modules with Trackers: Advanced Temperature Prediction Through Symbolic Regression F. Lara-Vargas et al.
675. Machine learning-driven optimization for surface roughness prediction of vertical orientation measurements on 3D printed components N. Islahudin et al.
676. Physiological equivalent temperature-based and universal thermal climate index-based adaptive-rational outdoor thermal comfort models S. Zhang et al.
677. Laser driven electron acceleration from dual-plane composite targets for space radiation applications P. ZHONG et al.
678. Measuring carbon sequestration and climate change mitigation potential of croplands under different climatic scenarios using RothC model A. Adeel et al.
679. Integration of geographic features and bathymetric inversion in the Yangtze River's Nantong Channel using gradient boosting machine algorithm with ZY-1E satellite and multibeam data Z. Wu et al.
680. A data-driven machine learning framework for predicting total agricultural food grain yield N. S & J. S
681. Deep Learning-Based Prediction of Fish Freshness and Purchasability Using Multi-Angle Image Data S. Hamidy et al.
682. Predicting spatio-temporal dynamics of dengue using INLA (integrated nested laplace approximation) in Yogyakarta, Indonesia M. Salim et al.
683. Optimization of Fused Deposition Modeling (FDM) Process for Small-Scale PEEK Medical Devices A. Azimi et al.
684. Feature selection-driven machine learning for parallel species authentication and adulteration quantification in commercial dairy products via Raman fingerprints Y. Zhao et al.
685. Estimation of redshift and associated uncertainty of Fermi/LAT extragalactic sources with Deep Learning S. Gharat et al.
686. FG-PromptNet: Cross-modal prompt learning for explainable molecular property prediction C. Sun et al.
687. Prediction and Factor Analysis of Liquefaction Ground Subsidence Based on Machine-Learning Techniques K. Karimai et al.
688. Autoencoder-based composite drought indices T. Lee et al.
689. Evaluación del impacto de redes compactas semiaisladas. Caso de estudio: Alimentadores Esperanza 2 y cananvalle 4 del Cantón Pedro Moncayo Autores/as Martha Andreina Montes-Molina M. Montes-Molina et al.
690. Efficient Reliability Block Diagram Evaluation Through Improved Algorithms and Parallel Computing G. Gori et al.
691. Research advances in machine learning-aided accurate prediction of the impact of exogenous substances on anaerobic digestion C. Wang et al.
692. The effectiveness of ecoacoustic indices in representing bird species richness relies on technical parameters R. Michielsen et al.
693. Optimized strength predictions for 3D printed fiber-reinforced concrete: Machine learning-driven insights A. Albostami et al.
694. Leveraging unsupervised machine learning techniques for detecting outliers in the daily milk yield data of dairy cows S. Higaki et al.
695. Signal-to-Noise Ratio Enhancement Method for Weak Signals: A Joint Optimization Strategy Based on Intelligent Optimization Iterative Algorithm C. Zhang et al.
696. Personality Prediction Model: An Enhanced Machine Learning Approach M. Ashawa et al.
697. Modelling the Epidemiological Impact of Different Adult Pneumococcal Vaccination Strategies in the United Kingdom R. Oidtman et al.
698. Evaluation of different methods for reference evapotranspiration assessment: A case study for Ukraine P. Lykhovyd et al.
699. Climate model downscaling in central Asia: a dynamical and a neural network approach B. Fallah et al.
700. Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction M. Mallik et al.
701. Transfer Learning Based on N-BEATS in Forecasting Univariate Time Series M. Lee et al.
702. Achieving Reliability in Cloud Computing by a Novel Hybrid Approach M. Shahid et al.
703. Advanced machine learning techniques for predicting power generation and fault detection in solar photovoltaic systems M. Abdelsattar et al.
704. The Multi-Objective Optimization of Low-Impact Development Facilities in Shallow Mountainous Areas Using Genetic Algorithms H. Sun et al.
705. Optimization of Mobile Overpass Support Placement Considering the Nonlinear Properties of the Soil Foundation A. Ganyukov et al.
706. SC and sensor faults detection and localization methodology in inconsistent lithium battery energy storage system based on time sequence H. Liu et al.
707. Groundwater multi-pollution source tracing method based on encoder decoder residual convolutional neural networks Z. Zhou et al.
708. Evaluating the absolute accuracy of UAV RTK photogrammetry and LiDAR for 3D cultural heritage documentation: a comparative study of DJI zenmuse P1 and L1 systems L. Panđa et al.
709. Optimisation of Dynamic Operation Strategy for a Regional Multi-Energy System to Reduce Energy Congestion Y. Hu et al.
710. Establishing a Berry Sensory Evaluation Model Based on Machine Learning M. Liu et al.
711. From Aerosol Optical Depth to Risk Assessment: A Novel Framework for Environmental Impact Statistics of Air Quality Using AERONET I. Tanasa et al.
712. A Comparative Study of Convolutional Neural Network Architectures for Estimating the Depth of Vein Structures in Near-Infrared Transillumination Imaging P. Anh Dam et al.
713. An Efficient Human Activity Recognition In-Memory Computing Architecture Development for Healthcare Monitoring X. Ji et al.
714. A soil-specific model to predict N2O emissions from laboratory and field experiments B. Chang et al.
715. Spatiotemporal changes in human thermal comfort across iran: future projections of UTCImin variability for land cover and elevation classes A. Zarei & A. Khoorani
716. ПРОГНОЗУВАННЯ ВИПАДКІВ ЗАХВОРЮВАНОСТІ НА COVID-19 ЗА ДОПОМОГОЮ МОДЕЛЮВАННЯ МЕТОДОМ МОНТЕ-КАРЛО У КОНТЕКСТІ ГУМАНІТАРНОЇ ДОПОМОГИ Є. Голик & Д. Ситніков
717. Soft Sensor Modeling Method Considering Higher-Order Moments of Prediction Residuals F. Ma et al.
718. Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java T. Ramdhani et al.
719. An analysis of discounting model selection methods: Assessing the generalization of discounting models J. Bailey et al.
720. A frugal arduino-based spirometer for low-resource settings: design, development and validation of a preliminary prototype J. Wallace et al.
721. Artificial intelligence framework for heart disease classification from audio signals S. Abbas et al.
722. Enhancing Immunoglobulin G Goat Colostrum Determination Using Color-Based Techniques and Data Science M. Betancor-Sánchez et al.
723. Estimating intervention impacts when timing is unclear: an AR-LagDT model with distributed lags X. Zhang et al.
724. A Multilayer Perceptron Feedforward Neural Network and Particle Swarm Optimization Algorithm for Optimizing Biogas Production A. Abdurrakhman et al.
725. Incorporating stand parameters in nonlinear height-diameter mixed-effects model for uneven-aged Larix gmelinii forests M. Ismail et al.
726. A human pan-disease blood atlas of the circulating proteome M. Álvez et al.
727. An optimally improved entropy weight method integrated with a fuzzy comprehensive evaluation for complex environment systems M. Yang et al.
728. Is Satellite-Derived Bathymetry Vertical Accuracy Dependent on Satellite Mission and Processing Method? M. Palaseanu-Lovejoy et al.
729. Improved Least Squares Phase Unwrapping Method Based on Chebyshev Filter G. Li et al.
730. Forecasting With Machine Learning Shadow‐Rate VARs M. Grammatikopoulos
731. Travel Time Prediction Using Machine Learning Algorithms: Focusing on k-NN, LSTM, and Transformer J. Jang
732. Foundation Model Empowered Real-Time Video Conference With Semantic Communications M. Chen et al.
733. Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion A. Untadi et al.
734. Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects A. Gharibi et al.
735. Carbon capture using ionic liquids: An explicit data driven model for carbon (IV) Oxide solubility estimation O. Agwu et al.
736. Kalman Assimilation Model for Retrieving Time-Series Chlorophyll Content Based on Multisource Remote Sensing Images Z. Wu et al.
737. DSSAT-PSO coupling-driven intelligent optimization for regional nitrogen management: Sequence module refinement and development J. Liao et al.
738. Generalizing CGM Sensor-Based Glucose Prediction across Age Cohorts Using LSTM Models S. Alzahrani
739. Physics-aware neural operator for high-fidelity fluid dynamics modeling with geometric and spectral priors X. Hu et al.
740. Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting D. Kontogiannis et al.
741. NPP accident prevention: Integrated neural network for coupled multivariate time series prediction based on PSO and its application under uncertainty analysis for NPP data X. Xiao et al.
742. Large-Language-Model-Enabled Health Management for Internet of Batteries in Electric Vehicles H. Peng et al.
743. Physical aeration mechanism of SDBS wastewater in a tank aerated by a microporous tube system Y. Guo et al.
744. Explainable AI-based risk assessment for pluvial floods over South Korea E. Lee et al.
745. Beyond Vegetation Indices: Winter Solar Radiation and Soil Properties Drive Wheat Yield Prediction in the Arid Steppes of Kazakhstan Using Gradient Boosting M. Alpysbay et al.
746. An Extended Flood Characteristic Simulation Considering Natural Dependency Structures M. Öttl et al.
747. Double-layer staggered IWFBGs enable multi-dimensional tactile sensing on scalable flexible skin G. Fu et al.
748. Intelligent Classification Method for Tight Sandstone Reservoir Evaluation Based on Optimized Genetic Algorithm and Extreme Gradient Boosting Z. Mu et al.
749. Integration of Computer Vision and Machine Learning for Automated pH Prediction I. Jeon et al.
750. Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning N. Tasmurzayev et al.
751. Analysis of Precipitation Totals Based on Radar and Rain Gauge Data K. Dzwonkowski et al.
752. Enhancing accuracy and efficiency in calibration of drinking water distribution networks through evolutionary artificial neural networks and expert systems C. Gomez et al.
753. Influence of boundary condition uncertainties on hydrodynamic simulations M. Barros et al.
754. Multivariate Time-Series Missing Data Imputation with Convolutional Transformer Model Y. Wang et al.
755. Double capped L1-norm extreme learning machine for regression and classification X. Wang et al.
756. High-precision short-term industrial energy consumption forecasting via parallel-NN with Adaptive Universal Decomposition F. Yang et al.
757. Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement I. Majid Mohammed & N. Ashidi Mat Isa
758. Optimizing sheep growth curves using a meta-heuristic algorithm M. Benvenga et al.
759. Predictive modeling for design of low elastic modulus and biocompatible β-Ti alloys: A comprehensive machine learning-data driven approach with XGBoost as the key predictor G. Kanapaakala & V. Subramani
760. Predicción de la presión de burbujeo utilizando aprendizaje automático O. Gil
761. Practical Control of an Upper-Limb Rehabilitation Robotic Arm Using a PD Controller With Time-Delay Estimation T. Nha Nguyen et al.
762. Identification and Fuzzy Control of the Trajectory of a Parallel Robot: Application to Medical Rehabilitation E. Ramirez-Dominguez et al.
763. Multistage symbolic optimization for predictive thermal modeling of bifacial photovoltaic systems with solar tracking in tropical climates F. Lara-Vargas et al.
764. Data-driven decision making in school leadership: AI-based academic performance prediction using ML and SDT motivation O. Chavez & T. Palaoag
765. Monitoring Post-Fire Deciduous Shrub Cover Using Machine Learning and Multiscale Remote Sensing H. Trommer & T. Assal
766. Development of bubble point pressure and oil formation volume factor models using pressure-volume-temperature data G. Mwakipunda et al.
767. Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data R. Shi et al.
768. Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development C. Pande et al.
769. Forecasting Residential Electricity Consumption Considering Climate Change, Socio-economic and Spatial Factors Y. Shin & H. Yoon
770. Physics-based machine learning for predicting urban air pollution using decadal time series data C. Cao et al.
771. Estimation method for karst carbon sinks on the basis of a concentration prediction model Y. Zhen et al.
772. Calibration of Low-Cost Moisture Sensors in a Biochar-Amended Sandy Loam Soil with Different Salinity Levels M. Gómez-Astorga et al.
773. Pedotransfer functions for prediction of soil organic carbon content for Chernozems Haplic and Calcic: A Case Study from the Left-Bank Forest- Steppe of Ukraine Y. Dmytruk et al.
774. LSTM and Temporal Fusion Transformers for daily evapotranspiration estimation using FLUXNET2015 and Google Earth Engine C. Achahboun et al.
775. Infrared target detection model based on global edge feature extraction M. Da et al.
776. Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models V. Nwazelibe & J. Egbueri
777. Prediction of the friction torque of scaled blade bearings in a test rig using machine learning M. Hohmann et al.
778. Validation of behavioural sampling techniques for 20-25 kg pigs during transport C. Kobek-Kjeldager et al.
779. Comparison of the Performance of Fluorescent, Phosphorescent, and TADF Luminophores for Explosives Sensing M. Tonet et al.
780. EvoNAS4Battery: An Evolutionary NAS Approach for Predicting the Remaining Useful Life of Lithium-Ion Batteries X. Chen et al.
781. A High Resolution Spatially Consistent Global Dataset for CO2 Monitoring A. Rakotoharisoa et al.
782. Augmented XGBoost modeling with CNN-extracted mass-spectral features and temporal embedding for enhanced prediction of pyrene degradation kinetics in advanced oxidation processes N. Liu et al.
783. Non-singular fast terminal sliding mode trajectory tracking control of cantilever piezo-electric stack actuator based on asymmetric hysteresis compensation M. He et al.
784. Optimizing office building performance in the HSWW region of China using simulation with Hyperopt CatBoost and SPEA2 Y. Huang et al.
785. Tropical Cyclone Track Prediction in the TCWC Indonesia Monitoring Area Using Deep Recurrent Neural Networks F. Alam et al.
786. Closed-loop inverse design of titanium alloys with multi-objective performance via multimodal data-driven modeling Q. Wei et al.
787. Surrogate Modeling for Building Design: Energy and Cost Prediction Compared to Simulation-Based Methods N. Shirzadi et al.
788. Modeling the effects of speed limit cameras (SLCs) on air quality and traffic flow on access-controlled highways D. Akin et al.
789. Mechanism of microwave-enhanced catalytic of plastic cracking for hydrogen production over iron catalysts: A reactive molecular dynamics study L. Yao et al.
790. Machine learning for dissolved oxygen prediction in the Manawatu River catchment, New Zealand I. Tenebe et al.
791. Three-dimensional Reverse Modeling and Hydraulic Analysis of the Intake Structure of Pumping Stations on Sediment-laden Rivers C. Xu et al.
792. Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network M. Biswas et al.
793. Detection of changes in the Annual Cooling Degree Days (ACDD) index in Iran for the historical and future periods, considering the highly populated provinces A. Zarei & M. Moghbel
794. The catastrophic effects of groundwater intensive exploitation and Megadrought on aquifers in Central Chile: Global change impact projections in water resources based on groundwater balance modeling J. Jódar et al.
795. On predictive device-level controls for water source heat pumps in multi-family residential buildings S. Bhattacharya et al.
796. Optimizing Controlled-Resonance Acoustic Metamaterials with Perforated Plexiglass Disks, Honeycomb Structures, and Embedded Metallic Masses G. Ciaburro et al.
797. Analyzing environment-transport relationships in metropolitan areas: A vulnerability-based geographic framework and prediction model J. Tong et al.
798. Population-Level Impact of the Enterovirus A71 Vaccination Program on Hand, Foot, and Mouth Disease: Ecological Time-Series Study Y. Tong et al.
799. Machine Learning-Powered Forecasting of Climate Conditions in Smart Greenhouse Containing Netted Melons Y. Jeon et al.
800. HiEnWrite: A Hindi-English Bilingual Dataset for Big Five Personality Detection S. Checker et al.
801. Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method Y. Chen et al.
802. Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring M. Pourramezan et al.
803. A data-driven framework to inform sustainable management of animal manure in rural agricultural regions using emerging resource recovery technologies M. Zaki et al.
804. Testing spatial interpolation methods for deep-time organic carbon burial in epicontinental seas by taking Sunda Shelf as an example Y. Yang et al.
805. Predicting the electrochemical performance of biomass derived carbon hosts in lithium–sulfur batteries using machine learning A. Dharmesh et al.
806. Randomness in Data Partitioning and Its Impact on Digital Soil Mapping Accuracy: A Comparison of Cross-Validation and Split-Sample Approaches D. Radočaj et al.
807. Translation of machine learning approaches into gas hydrate saturation proxy: a case study from Krishna-Godavari (KG) offshore basin B. Mukherjee et al.
808. Deep Learning-Based Cardiac MRI Planning from Localizers to Cine Views Using Landmark Detection D. Dhruba et al.
809. Advanced deep learning models for accurate and synergistic prediction of photocatalytic properties in doped BaTiO3 materials H. Lamouadene et al.
810. Deep-Neural-Networks-Based Data-Driven Methods for Characterizing the Mechanical Behavior of Hydroxyl-Terminated Polyether Propellants R. Han et al.
811. KE: A Knowledge Enhancing Framework for Machine Learning Models Y. Wang et al.
812. Deep learning-based estimation of truck Turn Around Time at container port B. Shin et al.
813. Evaluation of Smart Building Integration into a Smart City by Applying Machine Learning Techniques M. Shahrabani & R. Apanaviciene
814. Optimizing the Ultrashort Laser Pulses for In Situ Nanostructure Generation Technique for High-Performance Supercapacitor Electrodes Using Artificial Neural Networks and Simulated Annealing Algorithms K. Khosravinia & A. Kiani
815. Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions F. Wang et al.
816. Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution U. Lomoio et al.
817. A model fusion optimization strategy for lithium mill equipment state prediction Y. Xiao et al.
818. Graph neural network-based remaining useful life prediction of milling tools using multi-sensor data S. Kumar et al.
819. Regime shifts in Arctic terrestrial hydrology manifested from impacts of climate warming M. Rawlins & A. Karmalkar
820. Parabolic Modeling Forecasts of Space and Time European Hydropower Production C. Lincaru et al.
821. Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa N. Igwebuike et al.
822. Using a new threshold function in seismic data de-noising F. Qin et al.
823. Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny L. Ma et al.
824. Landslide susceptibility assessment using novel hybridized methods based on the support vector regression A. Jaafari
825. GICL: A Cross-Modal Drug Property Prediction Framework Based on Knowledge Enhancement of Large Language Models N. Li et al.
826. Adaptive Weighted Bregman Huber Total Variation Method for Terahertz Computed Tomography X. Cha et al.
827. A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy Y. Hao et al.
828. Digital twinning, prediction and multi-objective optimization of an azeotrope system separation process in pharmaceutical manufacturing process B. Shan et al.
829. The DEM Registration Method Without Ground Control Points for Landslide Deformation Monitoring Y. Wang et al.
830. Intelligent delignification: leveraging explainable AI for ozone transport modeling and optimization M. Rizwan et al.
831. Advancing weed morphotaxonomy through multivariate image-based analysis S. Dhawale et al.
832. Comparative Performance Analysis of Machine Learning-Based Annual and Seasonal Approaches for Power Output Prediction in Combined Cycle Power Plants A. Aslan & A. Büyükköse
833. A framework for scalable ambient air pollution concentration estimation L. Berrisford et al.
834. Prediction of Cancer Symptom Trajectory Using Longitudinal Electronic Health Record Data and Long Short-Term Memory Neural Network S. Chae et al.
835. CFD-ANN-based model for parametric analysis of segmented plate-fin heat sinks: Exploring heat transfer and pressure drop trade-offs A. Dadda et al.
836. Statistical evaluation of the PHYGROW model: a case study in Ceará State, Brazil S. Maranhão et al.
837. Machine Learning and Artificial Intelligence in Surgical Research S. Srinivas & A. Young
838. Hotspot Temperature Prediction of Relay Protection Equipment Based on a Physical-Model-Aided Data-Driven Method L. Jin et al.
839. Comparability of NARX model to SWAT model in simulating future water resources scenarios using CMIP6 climate model outputs over UASB, Ethiopia Y. Balcha et al.
840. Groundwater parameters estimation: A hybrid approach of convolutional layers with asynchronous and distributed bio-inspired algorithms K. Tesen et al.
841. Optimization of machine learning classifier using multispectral data in assessment of Ganoderma basal stem rot (BSR) disease in oil palm plantation M. Baharim et al.
842. Efficiency Optimization of the Main Operating Points of an EV Traction Motor G. Lee & Y. You
843. Metal Eklemeli ve Geleneksel İmalat Yöntemleriyle Üretilen Alüminyum Profillerin Sıcaklık Davranışının Bulanık Mantık ve Yapay Zekâ Tabanlı Modellemesi K. Özsoy & B. Aksoy
844. Use of different machine learning algorithms and their ability to predict organic matter digestibility in grass from constituent or spectral data B. Ollertz-Mertens et al.
845. Research on the Prediction of Higher Heating Value of Biochar Based on Machine Learning Trained with “Enhanced Data” C. Zhao et al.
846. Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework H. Wang et al.
847. Pedometric approaches to assess soil organic carbon dynamics in forest ecosystems: A review V. QASHA et al.
848. Noise-Assessment-Based Screening Method for Remote Photoplethysmography Estimation K. Lee et al.
849. A Comparative and Regional Study of Atmospheric Temperature in the Near-Space Environment Using Intelligent Modeling Z. Li et al.
850. New indices to quantify patterns of relative errors produced by spatial interpolation models – A comparative study by modelling soil properties U. Bronowicka-Mielniczuk & J. Mielniczuk
851. Physics-embedded machine learning search for Sm-doped PMN-PT piezoelectric ceramics with high performance R. Xin 辛 et al.
852. Enhanced Time Series–Physics Model Approach for Dam Discharge Impacts on River Levels: Seomjin River, South Korea C. Jung et al.
853. IMA‐LSTM: An Interaction‐Based Model Combining Multihead Attention with LSTM for Trajectory Prediction in Multivehicle Interaction Scenario X. Yin et al.
854. Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm M. Asim Shahid et al.
855. A two-step approximation for quantifying the effects of geographical location, environment and stand on tree allometry Y. Huang et al.
856. Innovative transformer architectures for long-term energy consumption analysis in buildings K. Elhabyb et al.
857. The Effect of Different Methacrylation Amounts on Physical Properties of Gelatin Methacryloyl Biomaterials: Machine Learning Approach S. Çakıcı & R. Tutar
858. Optimizing the Interaction System for Treadmill Video Games Using a Smartphone’s Front Camera M. Martin et al.
859. Optimal design approach of interpenetrating pre-stressed metal-ceramic composites based on deep learning neural network K. Liu et al.
860. AI-Powered Spectral Imaging for Virtual Pathology Staining A. Soker et al.
861. Development of a Testing Method for the Accuracy and Precision of GNSS and LiDAR Technology K. Romero et al.
862. Spatial distribution pattern and health risk of groundwater contamination by cadmium, manganese, lead and nitrate in groundwater of an arid area M. Sakizadeh et al.
863. Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images N. Reed et al.
864. LCLN-CA: A Survival Regression Analysis-Based Prediction Method for Catechin Content in Yunnan Sun-Dried Tea H. Li et al.
865. Nowcasting GDP Using Real-Time Highway Traffic Volume by Vehicle Type: Evidence from the Republic of Korea S. Kim et al.
866. Improving sea level retrieval accuracy based on the novel GNSS-IR altimetry azimuth optimization model Y. Shen et al.
867. Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios D. Chen et al.
868. Spatio-Temporal Gap Filling of Sentinel-2 NDI45 Data Using a Variance-Weighted Kalman Filter and LSTM Ensemble I. Haidu et al.
869. Utilizing Machine Learning Models with Molecular Fingerprints and Chemical Structures to Predict the Sulfate Radical Rate Constants of Water Contaminants T. Tang et al.
870. Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022 J. Lu et al.
871. Inter-comparison of medium-resolution satellite albedo retrieval techniques over snow and ice P. Fuchs et al.
872. Quantitative Evaluation of Low-Dose CT Image Quality Using Deep Learning Reconstruction: A Comparative Study of Philips Precise Image and GE TrueFidelity J. Shim et al.
873. Thermal analysis of bifacial photovoltaic modules with single-axis trackers in a large power plant: Modeling by symbolic equations in tropical climates F. Vargas et al.
874. LiteEnhanceNet: A lightweight network for real-time single underwater image enhancement S. Zhang et al.
875. Modelling CO2 Emissions from Vehicles Fuelled with Compressed Natural Gas Based on On-Road and Chassis Dynamometer Tests M. Mądziel
876. Comparison of PlanetScope and Sentinel-2 Spectral Channels and Their Alignment via Linear Regression for Enhanced Index Derivation C. Baldin & V. Casella
877. Machine learning for obtaining values of thermomechanical processing parameters of high-entropy alloys with desirable strength and ductility Z. Akhlaghi et al.
878. Enhancing Neonatal Incubator Energy Management and Monitoring through IoT-Enabled CNN-LSTM Combination Predictive Model I. Aryanto et al.
879. A novel hierarchical porous ZIF-8 for effective removal of three non-steroidal anti-inflammatory drugs simultaneously from environment R. Chen et al.
880. Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data H. Lobeto & M. Menendez
881. How Hydrological Extremes Affect the Chlorophyll-a Concentration in Inland Water in Jiujiang City, China: Evidence from Satellite Remote Sensing W. Jiang et al.
882. Predicting mental workload of using exoskeletons for construction work: a deep learning approach A. Afolabi et al.
883. Combined geophysical and hydrogeological evaluation of groundwater characteristics in and around Obio Akpa Campus, Akwa Ibom State University, Nigeria A. Ekanem & S. Ebong
884. RT-CBAM: Refined Transformer Combined with Convolutional Block Attention Module for Underwater Image Restoration R. Ye et al.
885. Robust Registration of Multi-Source Terrain Point Clouds via Region-Aware Adaptive Weighting and Cauchy Residual Control S. Sun et al.
886. Optimization of an Air Pressure System: A Multi-Objective Control and Modeling Approach V. Huilcapi et al.
887. Machine Learning Classification and Prediction of Wind Estimation Using Artificial Intelligence Techniques and Normal PDF H. Darwish & A. Al-Quraan
888. Habitat Assessment of Bocachico (Prochilodus magdalenae) in Ciénaga de Betancí, Colombia, Using a Habitat Suitability Index Model K. Vellojín-Muñoz et al.
889. A fusion strategy for terrestrial water storage anomaly inversion using joint GNSS and GRACE for Southwest China Y. Shen et al.
890. Accuracy of Automatic Passenger Counting in Open Mass Transit Systems: Insights from Italy B. Barabino et al.
891. Dynamic machine learning approach for workload prediction in cloud environments M. Nashaat et al.
892. Leveraging machine learning for analyzing structural behavior of a composite wind turbine blade R. Rafiee et al.
893. ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants D. Santos et al.
894. Estimation of Tree Diameter at Breast Height (DBH) and Biomass from Allometric Models Using LiDAR Data: A Case of the Lake Broadwater Forest in Southeast Queensland, Australia Z. Bhebhe et al.
895. Infrared target detection algorithm based on multipath coordinate attention mechanism M. Da et al.
896. Using multiple linear regression to predict engine oil life V. Nguyen et al.
897. Deep learning based emulator for predicting voltage behaviour in lithium ion batteries K. Oka et al.
898. Effect of Nisin and Storage Temperature on Outgrowth of Bacillus cereus Spores in Pasteurized Liquid Whole Eggs B. Goshali et al.
899. Artificial Intelligence-Driven Rainfall Forecasting and GIS-Based Flood Risk Mapping for Climate-Resilient Infrastructure in Bangladesh H. Alif et al.
900. Predicting the Productivity of Municipality Workers: A Comparison of Six Machine Learning Algorithms P. Bijalwan et al.
901. Improved capabilities of global ocean reanalyses for analysing sea level variability near the Atlantic and Gulf of Mexico Coastal U.S. X. Feng et al.
902. GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease R. Dai et al.
903. Predicting the Heave Displacement of a Nonbuoyant Wave Energy Converter Using Tree-Based Ensemble Machine Learning Models N. Santhosh et al.
904. Intelligent Path Planning for UAV Patrolling in Dynamic Environments Based on the Transformer Architecture C. Yu et al.
905. Sparsity-enhanced wavelet transform with dynamic thresholding for financial time series denoising P. Yamak et al.
906. Advanced Deep Statistical Learning Approach for Forecasting Global Economic Policy Uncertainty and Volatility K. Alakkari et al.
907. Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN W. He et al.
908. Machine learning and nutrient circular economy recovery for microalgae Chlorella Vulgaris biomass production A. Soo et al.
909. Concept drift adaptive method leveraging dynamic memory window and data augmentation W. Gu & W. Guo
910. Enhanced saturated hydraulic conductivity estimation in fine-grained soils: a voting regressor ensemble framework H. Zhang et al.
911. Neuro-Visual Adaptive Control for Precision in Robot-Assisted Surgery C. Urrea et al.
912. Deep learning-based AQI forecasting: a CNN-LSTM model with visual insights from SHAP-LIME and PDP E. Mohapatra et al.
913. Estimation and Classification of Coffee Plant Water Potential Using Spectral Reflectance and Machine Learning Techniques D. Delfino et al.
914. Application of artificial neural network for the prediction of thermal runaway in lithium-ion batteries S. Lekoane et al.
915. Predicting Car Rental Prices: A Comparative Analysis of Machine Learning Models J. Yang et al.
916. A real-time automated bone age assessment system based on the RUS-CHN method C. Yang et al.
917. ANN-Enabled Gain Prediction and Optimization in Dual-Band SIW Antenna Designs for 5G Networks M. Alam et al.
918. GAN-MAML strategy for biomass energy production: Overcoming small dataset limitations Y. Zhang et al.
919. Field Application Test of Airflow Monitoring Technology in HVAC Systems Y. Wang et al.
920. A Data-Centric Approach to Water Quality Prediction: Sample Size, Augmentation, and Model Performance with a Focus on Ammonium in a Tropical Wetland D. Avila et al.
921. Addressing non-stationarity with stochastic trend in the context of limited time series data: An experimental survey in healthcare analytics A. BATOURE BAMANA et al.
922. Heavy-Duty Gas Turbine Compressor Health Monitoring by Improved Closed-Form Continuous-Time Neural Network E. Chang et al.
923. A Cognitive Diagnosis Model Using Convolutional Neural Networks to Predict Student Scores J. Mo et al.
924. Genetic Algorithm-Optimized Neural Network for Efficient Soil Health Assessment: An Engineering Approach for Sustainable Agriculture R. Silva et al.
925. Genotyping sequence-resolved copy number variation using pangenomes reveals paralog-specific global diversity and expression divergence of duplicated genes W. Ma & M. Chaisson
926. Artificial intelligence enabled fouling prediction and effect of adsorbent sources in submerged fluidized bed ceramic membrane reactor for food industry wastewater treatment T. Safdar et al.
927. An explainable artificial intelligence feature selection framework for transparent, trustworthy, and cost-efficient energy forecasting L. Kost et al.
928. Parameter Estimation and Forecasting Strategies for Cholera Dynamics: Insights from the 1991–1997 Peruvian Epidemic H. Karami et al.
929. A machine learning framework for residential district cooling: Forecasting consumption, explaining drivers, and evaluating decarbonization pathways K. Hayawi et al.
930. Evaluation of Sentinel-2 Vegetation Indices for Estimating Leaf Area Index in Cassava Plots K. Promnikorn et al.
931. Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models H. Madokoro & S. Nix
932. Assessing the impact of climate change by using Mann–Kendall, Pettitt and statistical downscaling model (case study: Tabriz station) S. Imani et al.
933. Machine Learning Techniques for Modelling the Water Quality of Coastal Lagoons J. Lorente-González et al.
934. Quantitative Analysis of Near-Infrared Spectroscopy Using the BEST-1DConvNet Model G. Li & S. Deng
935. MRC-Net: A Multistage Network With Rank-Reduced Multihead Self-Attention and Cascade Learning for Hyperspectral Pansharpening C. Wu et al.
936. A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al.
937. Multi-source data fusion-based knowledge transfer for unmanned aerial vehicle flight data anomaly detection and recovery L. Yang et al.
938. A Seamless Deep Learning Approach for Apple Detection, Depth Estimation, and Tracking Using YOLO Models Enhanced by Multi-Head Attention Mechanism P. Sekharamantry et al.
939. FARM: Crop Yield Prediction via Regression on Prithvi’s Encoder for Satellite Sensing S. Nejadshamsi et al.
940. Wind-Induced Pressure Distribution of Nonrectangular Shaped Low-Rise Buildings M. Matus & I. Zisis
941. LAI Inversion for Winter Wheat From UAV Hyperspectral Data Considering Crop Growth Heterogeneity J. Feng et al.
942. Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images Y. Yang et al.
943. A Politics Oriented Early Warning System for Deforestation in the Amazon Rainforest G. Granjo
944. Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies M. Husein et al.
945. Development and Application of a Predictive Model for Estimating Refinery Shutdown Duration and Resilience Impacts Due to Hurricane Hazards K. Capshaw & J. Padgett
946. Machine learning applications for predicting liquid fraction in a PV system with NEPCM and fins M. Kiaghadi et al.
947. Performance Evaluation of Inherent Optical Property Algorithms and Identification of Potential Water Quality Indicators Using GCOM-C Data in Eutrophic Lake Kasumigaura, Japan M. Choto et al.
948. A machine learning approach for the prediction of cellulose nanofibril films’ mechanical properties from suspension morphological data Y. Asiaee et al.
949. Thermal Data Optimization Through Uncertainty Reduction in Fatigue Limits Estimation: A TCM–ANN Framework for C45 Steel L. Corsaro et al.
950. Traffic Flow Prediction in Sensor-Limited Areas Through Synthetic Sensing and Data Fusion M. Alvi et al.
951. Formulating predictive models for solar energy loss using machine learning: improving solar panel efficiency S. Ashakirin Binti Mohd Nashruddin et al.
952. A Deep Learning-Enhanced CSI-Based System for High-Precision Indoor Positioning H. Li et al.
953. Street-level temperature estimation using graph neural networks: Performance, feature embedding and interpretability Y. Yu et al.
954. Regression and Correlation-Based Modeling of Nonlinear Optical Response in Quantum Wells M. Sayraç & E. Yalçın
955. Soil total suction sensing using fiber-optic technology J. Guo et al.
956. Optimization model of process parameters for waterworks based on CNN-ISSA-BiGRU P. Mei et al.
957. Applying Machine Learning Techniques to Identify Key Factors Motivating Flood-Prone Residents to Implement Private Flood Mitigation Measures A. Fouladi Semnan et al.
958. Machine learning prediction of biochar yield based on biomass characteristics J. Ma et al.
959. Modeling methods for chiller and heat pump systems in buildings: A systematic review in the context of digital twin applications A. Ghadertootoonchi & S. Lee
960. Machine Learning-Driven Pyrolysis Optimization: Capturing Hidden Feedstock Effects on Biochar and Bio-Oil Yields S. Abaei et al.
961. Deep iterative fuzzy pooling in unmanned robotics and autonomous systems for Cyber-Physical systems V. Ravindra Krishna Chandar et al.
962. Supervised Machine learning models for predicting mechanical properties of dissimilar friction stir welded AA7075-AA5083 aluminum alloys M. Mothilal & A. Kumar
963. A CNN-Based Downscaling Model for Macau Temperature Prediction Using ERA5 Reanalysis Data N. Pang et al.
964. An AI-based neural network approach for real-time monitoring of water management related PEM fuel cells degradation O. Schopen et al.
965. Analysis and Forecasting of Cryptocurrency Markets Using Bayesian and LSTM-Based Deep Learning Models B. Biki et al.
966. Computational modeling and interpretability analysis of manufacturing parameters in titanium matrix composites Q. Wei et al.
967. Research on internal leakage detection of the ball valves based on stacking ensemble learning M. Shi et al.
968. The impact of fractional cover distribution in training samples on the accuracy of fractional cover estimation: a model-based evaluation R. Wang & C. Shi
969. Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review D. Pan et al.
970. A Deep Learning-Based Ultra-Fast Surrogate Model for AC Loss Estimation in Superconductors Using COMSOL Y. Huang et al.
971. Dual-Task Cascaded Network for Spatial–Temporal–Spectral Remote Sensing Image Fusion X. Meng et al.
972. Treatment of Effluents from Vehicle Wash Stations with the Electrocoagulation Process: Proposition of a Predictive Statistical Model for the Estimation of the Efficiency of Chemical Oxygen Demand and Methylene Blue Active Substance Reduction M. Guerreiro Crizel et al.
973. Validation of retracked Sentinel-3 altimetry observations along the Norwegian coast M. Tomić et al.
974. Predicting Energy Demand Using Machine Learning: Exploring Temporal and Weather-Related Patterns, Variations, and Impacts B. Sahin et al.
975. Numerical Study of an Oscillating Submerged Horizontal Plate Wave Energy Converter on the Southern Coast of Brazil: Parametric Analysis of the Variables Affecting Conversion Efficiency R. Batista et al.
976. Prediction of significant wave height based on feature decomposition and enhancement L. Wu et al.
977. PSDefoPAT—Persistent Scatterer Deformation Pattern Analysis Tool M. Evers et al.
978. Predicting medical waste amounts and costs using machine learning and XAI for sustainable waste management in healthcare İ. Uysal et al.
979. A monthly-adaptive sky temperature model for the Mediterranean area based on symbolic regression: development, validation and impact on building energy simulations L. Evangelisti et al.
980. Accurate Short-Term GHI forecasts for energy Simulation, emissions Reduction, and demand response under limited data H. Alghamdi
981. Machine Learning Techniques Evaluating Housing Projects Performance A. Hassoon et al.
982. Towards Robust Chain-of-Thought Prompting with Self-Consistency for Remote Sensing VQA: An Empirical Study Across Large Multimodal Models F. Faria et al.
983. A CNN–LSTM–SVM Framework for Mapping Driving Styles to Adaptive Suspension Modes Z. Wang et al.
984. Predicting groundwater electrical conductivity with ensemble learning and clustering optimization Z. Doost et al.
985. A Data-Driven Vehicle Speed Prediction Transfer Learning Method With Improved Adaptability Across Working Conditions for Intelligent Fuel Cell Vehicle D. Lu et al.
986. Dynamic load balancing of traffic in the IoT edge computing environment using a clustering approach based on deep learning and genetic algorithms M. Merah et al.
987. Multiscale Quantitative Identification of P Sources in a Watershed during the Rainy Season Using a Phosphate Oxygen Isotope J. Zhang et al.
988. Spatiotemporal Evolution and Driving Mechanisms of Vegetation Coverage in the Dongting Lake Ecological Restoration Area Based on Multi-Source Remote Sensing Data M. Fu et al.
989. Study on New Natural Ventilation Performance Based on Seat Air Supply in Gymnasiums Y. Wu et al.
990. Active learning surrogates in system reliability analysis: a review H. Zhang & L. Song
991. RETRACTED: The analysis of teaching quality evaluation for the college sports dance by convolutional neural network model and deep learning S. Guo et al.
992. Enhancing Electrical Conductivity and pH Sensor Measurements in Precision Hydroponics: Comparative Analysis of Six Data Processing Methods H. Sulaiman et al.
993. Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity Y. Wang et al.
994. Deep neural network for prediction and control of permeability decline in single pass tangential flow ultrafiltration in continuous processing of monoclonal antibodies N. Jesubalan et al.
995. A comparative analysis of the accuracy of forecasting methods in predicting strategic food production in East Java P. Suseno et al.
996. Data-driven insights from technical indicators to predict the stablecoins price I. Visharad et al.
997. A comparative analysis of Landsat-8 and MODIS data for forecasting cyanobacterial blooms in small-scale reservoirs Y. Miura et al.
998. Potato Production Forecasting Based on Balance Dynamic Biruni Earth Radius Algorithm for Long Short-Term Memory Models S. Towfek & A. Alhussan
999. Direct and non-contact measurement of liquid fraction in unconstrained encapsulated PCM melting A. Boroojerdian et al.
1000. Deep Deterministic Policy Gradient-Based Parameter Adaptation for Synchronous Sliding-Mode Control with Time-Delay Estimation in Dual-Arm Robot Manipulators Under System Uncertainties D. Tran et al.
1001. Documentation strategy for facilitating the reproducibility of geo-simulation experiments Z. Zhu et al.
1002. A GSD‐driven approach to deriving stochastic soil strength parameters under hybrid machine learning models H. Jiang et al.
1003. Algorithm for improving drill core sizing accuracy using image segmentation J. Salis et al.
1004. A custom‐built single‐channel in‐ear electroencephalography sensor for sleep phase detection: an interdependent solution for at‐home sleep studies D. Borges et al.
1005. Numerical and experimental validation of an indirect solar water-heating system with TRNSYS-based parametric analysis under Moroccan Mediterranean climate F. Ghatoui et al.
1006. A multi-criteria recommendation system for personalised tourism experiences with user query analysis M. Payandenick et al.
1007. Pointwise and Complex Quality Metrics in Atmospheric Modeling: Methods and Approaches V. Rezvov et al.
1008. Expansion and intensification of deep soil drying on the Loess Plateau of China over the last three decades Z. Zhou et al.
1009. Evaluating existing flow theories for modelling macropore flow through unsaturated soils: A numerical study A. Pandey & R. Ojha
1010. Prediction of Typical Power Plant Circulating Cooling Tower Blowdown Water Quality Based on Explicable Integrated Machine Learning Y. Wan et al.
1011. The Validity Study of the Age-Predicted Maximum Heart Rate Equations in Athletes 祥. 付
1012. Emerging deep learning approaches for urban satellite image analysis: a survey on classification, segmentation, and change detection T. Soni & P. Pujari
1013. Machine learning prediction of biochar yield based on different classification methods C. Zhao et al.
1014. A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite Materials I. Malashin et al.
1015. A new dual-input CNN for multimodal fault classification using acoustic emission and vibration signals W. Zaman et al.
1016. Snow depth estimation in Northeast China based on space-borne scatterometer data and ML model with optimal features W. Chen et al.
1017. Optimized segmented regression models for the transition period of intervention effects X. Zhang et al.
1018. A machine learning-based algorithm for estimating river surface water velocity F. Lin et al.
1019. Prompt-MGNet: Prompt multi-granularity attentional networks for medical image restoration X. Zeng et al.
1020. Anomaly Detection in ELI-NP Front-End Laser Energy Data Using an Optimized Moving Average Method T. IMRAN
1021. Determinants of household level socio–economic impacts of desert locust (Schistocerca gregaria) in Wabe Shebelle River Basin of Ethiopia D. Mallie et al.
1022. Hybrid Integent Staging of Age-Related Macular Degeneration for Decision-Making on Patient Management Tactics E. Lopukhova et al.
1023. Operational performance study of PV-Trombe walls applying spectrally split beam louvers in different climate zones W. Zhang et al.
1024. Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm Y. Duan et al.
1025. Evaluating the accuracy of two simple field methods for estimating grassland curing state in the Dry Chaco Region of Argentina R. Coria
1026. Enhancing DSS Exploitation Based on VGI Quality Assessment: Conceptual Framework and Experimental Evaluation T. Sboui & S. Aissi
1027. Crafting an innovative one health-aligned machine learning framework for neglected tropical diseases elimination Z. Zhao et al.
1028. Optimizing Data Security with Hybrid Scheme Based on LSB and DWT S. Abdullah & S. Fleyeh Nawaf
1029. Development of piezoresistive flexible sensor with dual-height cylindrical microstructure surfaces to achieve vehicle vibration monitoring D. Zhang et al.
1030. Combining residual structure and edge loss for face image restoration with generative adversarial networks J. Zhao et al.
1031. Automation and Genetic Algorithm Optimization for Seismic Modeling and Analysis of Tall RC Buildings P. Cabrera et al.
1032. Data-Driven Gray Box Modeling for Predicting Basin-Scale Groundwater Variations in Central Taiwan A. Ouédraogo et al.
1033. 基于三维高斯溅射的机器人手术动态场景三维重建 宋. Song Changshun et al.
1034. PREDICTION OF GROUND SUBSIDENCE DUE TO LIQUEFACTION BY APPLYING TRANSFER LEARNING TECHNIQUE K. KARIMAI et al.
1035. Machine Learning–Based Detection of Olive Oil Adulteration Using BME688 Gas Sensor Matrix İ. Parlak et al.
1036. Combining interdisciplinary field measurements and ENVI-met simulations for comparative assessment of outdoor human thermal comfort across local climate zones T. Gregorčič et al.
1037. An Improved RF Dielectric Sensor for Real-Time Noninvasive Moisture Measurement of In Situ Corn Kernels Y. Xiang et al.
1038. Accuracy and Reliability of Deep Learning-based 2D Posture Analysis S. Pyo et al.
1039. Ensemble modeling for predicting head vibration based on driving seating conditions: Towards adaptive seating systems A. Singh et al.
1040. The Impact of Collaboration Patterns and Network Centrality on Long-Term Contribution in GitHub Project S. Jo & G. Kwon
1041. Accuracy of recording linear erosion using an unmanned aerial vehicle (UAV) R. Hinsberger et al.
1042. Multi-objective optimization of ventilation in pharmaceutical cleanrooms based on response surface methodology and AHP-entropy weight method Z. Wu & Y. Li
1043. Unveiling digital dynamics: Do digital media investments impact organic branded searches? G. Filippou et al.
1044. Damage detection of spent nuclear fuel canisters using frequency response functions M. Aghagholizadeh et al.
1045. Accuracy Assessment of High-Resolution Globally Available Open-Source DEMs Using ICESat/GLAS over Mountainous Areas, A Case Study in Yunnan Province, China M. Li et al.
1046. COVID-19-Induced Depression and Anxiety Detection: A Systematic Literature Review of Machine Learning and Deep Learning Techniques P. Arora & S. Dahiya
1047. Area estimation methods in underwater video surveys: Biases, errors and their impacts on density estimates G. Vickery et al.
1048. Prediction of Adherence to an Online Wellness Program for People with Mobility Limitations: A Machine Learning Approach S. Aly et al.
1049. Collaborative Worker Safety Prediction Mechanism Using Federated Learning Assisted Edge Intelligence in Outdoor Construction Environment S. Moe et al.
1050. Machine learning approach for predicting yield strength of nitrogen-doped CoCrFeMnNi high entropy alloys at selective thermomechanical processing conditions M. Veeresham et al.
1051. Bearing Lifespan Reliability Prediction Method Based on Multiscale Feature Extraction and Dual Attention Mechanism X. Luo & M. Wang
1052. Experimentally Guided Neural Network and Statistical Forecasting of Membrane Water/Salt Selectivity with Minimal Mean Errors J. Ansary et al.
1053. Blast pressure-time history super-resolution: A hybrid BiLSTM-Transformer approach with wavelet-based preprocessing M. Yıldız et al.
1054. Development, validation, and demonstration of the rotary parlor model R. Prendergast et al.
1055. Novel Cost-Effective and Portable Three-Dimensional Force Measurement System for Biomechanical Analysis: A Reliability and Validity Study L. Hao et al.
1056. A Preliminary Study: Gaussian Splatting Technique in Generating a 3D Model of Textureless Object S. Qoyimah & H. Sugiastu Firdaus
1057. Pose Estimation of Coil Workpieces by Automated Overhead Cranes Using an Improved Point Pair Features Algorithm Y. Zhuang et al.
1058. Integrated deep learning and image processing method for modeling energy loss due to shadows in solar arrays M. Araji & A. Waqas
1059. Smart air quality assessment in Ghaziabad, India: machine learning approaches for AQI forecasting and classification I. Dawar et al.
1060. Integration of machine learning and time series analysis for upwelling prediction dashboard in lake Laut tawar, indonesia: A study based on climate forecasting M. Ulhaq et al.
1061. LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models A. Debnath et al.
1062. Machine learning and remote sensing for modeling groundwater storage variability in semi-arid regions A. Elmotawakkil et al.
1063. Cognitive Video Surveillance Management in Hierarchical Edge Computing System with Long Short-Term Memory Model D. Ugli et al.
1064. Ionospheric Electron Density and Temperature Profiles Using Ionosonde-like Data and Machine Learning J. Nibigira & R. Marchand
1065. Artificial Intelligence (AI) in rheumatology: a comparative evaluation of the ChatGPT and DeepSeek application M. Polyzou & X. Baraliakos
1066. A Modeling Design Method for Complex Products Based on LSTM Neural Network and Kansei Engineering J. Duan et al.
1067. Validation of OCM3 Operational Products Along the Coastal Waters of Southern Bay of Bengal Using In-Situ Measurements and Statistical Analysis V. Niranjana et al.
1068. Artificial neural network modeling for predicting PM10, PM2.5, NOX, and SO2 in coal mining areas A. Mishra et al.
1069. At your fingertips: Do augmented reality gestures reveal product-related emotion? P. Tarafdar et al.
1070. Predicting air quality index in başakşehir, istanbul with hybrid ai models: unveiling key drivers through catboost-based shap and feature importance analysis M. Akiner et al.
1071. Mitigating NLOS Interference in GNSS Single-Point Positioning Based on Dual Self-Attention Networks K. Zeng et al.
1072. Travel Time Information on Signalized Arterials J. Jang
1073. Data-driven surrogate modeling for accelerated multiscale FE 2 simulation of nonlinear thermomechanical behavior in composite materials H. Saidi et al.
1074. Surface Defect Detection Based on Adaptive Multi-Scale Feature Fusion G. Wen et al.
1075. Utilizing an intelligent machine learning strategy for predicting the tensile strength and ductility properties of nitrogen doped CoCrFeMnNi based high entropy alloys M. Veeresham et al.
1076. A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges B. Chen et al.
1077. Developing a stacked ensemble model for construction labor productivity prediction with metaheuristic-optimized random forest A. Abdillahi & S. Bayram
1078. Application of Machine Learning Models in Systemic Lupus Erythematosus F. Ceccarelli et al.
1079. Enhancing Grinding Efficiency in Aluminum Alloys: An Ensemble-Stacking and Single Machine Learning Framework for Predicting Surface Roughness with SHAP-based interpretability M. Dehghanpour Abyaneh et al.
1080. Age estimation through CT image analysis of the thoracic cage in a Mediterranean population M. Partido Navadijo et al.
1081. Robust data-driven dynamic model discovery of industrial robots with spatial manipulation capability using simple trajectory M. Omar et al.
1082. Using Transfer Learning and XGBoost for Early Detection of Fires in Offshore Wind Turbine Units A. Wan et al.
1083. Comparative assessment of FSM and MPSIAC models in quantifying soil sedimentation rates in the semi-humid and alpine regions of northern Iran S. Alavinia & M. Motaghian
1084. Effect of Temperature on Turbulent Flow of Herschel–Bulkley Polymeric Solutions in Pipes P. Ilker et al.
1085. A machine learning method to predict grain refinement and hardness of severely deformed materials H. Shahmir et al.
1086. A Comprehensive Overview of Current Filtering Methods for ECG Signals J. Moyon S et al.
1087. Research on Grain Moisture Model Based on Improved SSA-SVR Algorithm W. Cao et al.
1088. Integrating geotechnical and geophysical data for site characterization using multi-task Gaussian process Y. Ren & C. Konishi
1089. Deep Learning-Based Faulty Component Diagnosis of Transmission Channels in ATE Affected by Thermal Degradation J. Gu et al.
1090. MGLF-Net: Underwater Image Enhancement Network Based on Multi-Scale Global and Local Feature Fusion J. Li et al.
1091. Physics-Informed Deep Learning for 3D Wind Field Retrieval of Open-Ocean Typhoons X. Zhang et al.
1092. An Individualized Machine Learning Approach for Human Body Weight Estimation Using Smart Shoe Insoles F. Sanghavi et al.
1093. Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels S. Rayhan et al.
1094. An image quality assessment algorithm based on ‘global + local’ feature fusion Y. Yang et al.
1095. Evaluation of accuracy and changing rainfall trends of gridded satellite precipitation products: a comparative analysis with ground observations over the Modjo catchment, central Ethiopia W. Dibaba & B. Bedada
1096. Effects of Window and Batch Size on Autoencoder-LSTM Models for Remaining Useful Life Prediction E. Jeon et al.
1097. Reducing data preparation calculations for estimating machine learning-based seismic fragility curves of structures Z. Salmi et al.
1098. Deep-Learning-Based Determination of Textile Properties: A Novel Triplet Architecture Approach for Classifying Cotton Content M. Wiedemann et al.
1099. Superconducting Gravimeters: A Novel Tool for Validating Remote Sensing Evapotranspiration Products J. Pendiuk et al.
1100. A Review of Recent Trends in Electricity Price Forecasting Using Deep Learning Techniques T. Jasiński
1101. Quasi-modified-Newton method-based selective harmonic elimination in cascaded H bridge inverters B. Saif et al.
1102. Evaluating degradation in emotional speech quality over a 4G telephone network I. Hadjadji & L. Falek
1103. DCAE-SR: Design of a Denoising Convolutional Autoencoder for Reconstructing Electrocardiograms Signals at Super Resolution U. Lomoio et al.
1104. Characterisation of structural performance and sustainability of hot mix asphalt mixtures containing RAP using Machine Learning A. Jamshidi et al.
1105. Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset T. Imankulov et al.
1106. Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany T. Deng et al.
1107. A fact based analysis of decision trees for improving reliability in cloud computing M. Asim Shahid et al.
1108. Age estimation in fishes using epigenetic clocks: Applications to fisheries management and conservation biology F. Piferrer & D. Anastasiadi
1109. Prediction of Soil pH Improvement Through Biochar: A Machine Learning Based Solution C. Zhao et al.
1110. AFR-CR: An Adaptive Frequency Domain Feature Reconstruction-Based Method for Cloud Removal via SAR-Assisted Remote Sensing Image Fusion X. Zhou et al.
1111. A hybrid multiscale forecasting framework for rainfall-induced landslide displacement: case studies from Guangxi, China F. Zhang et al.
1112. Synchrosqueezing Superlet Transform: Algorithm and Applications J. Yu et al.
1113. Enhanced formula-based method to estimate burnup, initial enrichment, and cooling time using limited gamma-ray source data of reference PWR spent nuclear fuel assemblies S. Lee & J. Cheong
1114. Hybrid neuro fuzzy inference systems for simulating catchment sediment yield M. Sedighkia et al.
1115. Effect of natural and human factors on hydrological connectivity in the arid region: Application of water-ecological network and XGBoost model Y. Bai et al.
1116. Predicting CO2 emissions using UAV spectral and thermal data in urban lawns: A case study of buffalograss and St. Augustinegrass J. Iradukunda et al.
1117. STG-LSTM: Spatial-temporal graph-based long short-term memory for vehicle trajectory prediction D. Ndunguru et al.
1118. Exploratory Assessment of Short-Term Antecedent Modeled Flow Memory in Shaping Macroinvertebrate Diversity: Integrating Satellite-Derived Precipitation and Rainfall-Runoff Modeling in a Remote Andean Micro-Catchment G. Sotomayor et al.
1119. Remaining Useful Life Prediction of Rolling Bearings Based on Time-Frequency Enhanced Transformer Model C. Lin et al.
1120. From data to digestibility: prediction of resistant starch using machine learning for functional food development M. Beura et al.
1121. Temporal Convolutional Kolmogorov–Arnold Networks-Based Multivariate Regression for Unmanned Aerial Vehicle Flight Data Anomaly Detection and Recovery L. Yang et al.
1122. Curve-Aware Model Predictive Control (C-MPC) Trajectory Tracking for Automated Guided Vehicle (AGV) over On-Road, In-Door, and Agricultural-Land S. Manikandan et al.
1123. Improved Glass Bottle Defect Detection System using Multiple Lights Image Enhancement Method J. Gwak et al.
1124. Minimalist Deep Learning for Solar Power Forecasting: Transformer-Based Prediction Using Key Meteorological Features D. Kibet et al.
1125. Deep tabular transformer and boosting models for accurate strength prediction of sustainable high-performance concrete using high dosage supplementary cementitious materials B. Kumar et al.
1126. Analyzing University Students’ Attitude And Behavior Towards Jesi Program Using Technology Acceptance Model B. Obenza et al.
1127. Meta-learning-aided generalized anomaly detection for unmanned aerial vehicles from simulation to unseen reality L. Yang et al.
1128. Climate-induced habitat suitability modelling for pelagic fish in European seas R. Musimwa et al.
1129. Development of a Very Low-Cost Deforestation Monitoring System Based on Aerial Image Clustering and Compression Techniques A. ANDREI & O. GRIGORE
1130. AIoT-Enabled Hybrid ML–GA Framework for Elderly-Friendly Greenhouse Optimization P. Nuangpirom et al.
1131. AI-Driven Control of Large Potassium Dihydrogen Predictive Modeling and Assisted Optimization of DKDP Crystal Growth Using Gradient Boosted Regression Trees and Crystal Height Features H. Li et al.
1132. Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions R. Wang et al.
1133. Improving the resolution of solar energy potential maps derived from global DSMs for rooftop solar panel placement using deep learning M. Hosseini & H. Bagheri
1134. Regression in Earth Observation: Are vision–language models up to the challenge? X. Xue & X. Zhu
1135. Augmenting Circadian Biology Research With Data Science S. Soltani et al.
1136. Use of machine learning models for prediction of compressive strength of concrete produced with waste materials K. Parida et al.
1137. AI-Powered Academic Guidance and Counseling System Based on Student Profile and Interests H. Majjate et al.
1138. Cyber-Resilient Converter Control System for Doubly Fed Induction Generator-Based Wind Turbine Generators N. Farrar & M. Ali
1139. Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al.
1140. Enhancing Human–Computer Interaction With Cultural Nuance: A Deep Reinforcement Learning Perspective X. Wang
1141. Acoustic Source Tracking Based on Probabilistic Data Association and Distributed Cubature Kalman Filtering in Acoustic Sensor Networks Y. Chen et al.
1142. The Efficacy of Autoencoders in the Utilization of Tabular Data for Classification Tasks A. Altaibek et al.
1143. Quantitative Evaluation of the Applicability of Classical Forest Ecosystem Carbon Cycle Models in China: A Case Study of the Biome-BGC Model M. Fang et al.
1144. Selective extraction of silver from jarosite residues produced in the zinc hydrometallurgical process using thiourea under acidic conditions: Kinetic analysis and leaching optimization M. Nolasco et al.
1145. A comparative framework for evaluating machine learning models in forecasting electricity demand for port microgrids A. Micallef et al.
1146. Optimizing Similar Audience Search in Targeted Advertising: Effectiveness of Siamese Networks for Autoencoder-based User Embeddings I. Tokhtakhunov et al.
1147. A Terrain-Constrained TIN Approach for High-Precision DEM Reconstruction Using UAV Point Clouds Z. He et al.
1148. Blockchain and differential privacy-based data processing system for data security and privacy in urban computing G. Heo & I. Doh
1149. Burst Load Frequency Prediction Based on Google Cloud Platform Server H. Wang
1150. Improving Satellite-Based Dissolved Oxygen Prediction for River Management Using a Stepwise Regression–Neural Network Hybrid in Pahang River, Malaysia N. Mohd Jais et al.
1151. Examining the generalizability of inverse surrogate models for different geometries and locations L. Jowett-Lockwood & R. Evins
1152. Accuracy and time efficiency of a new app developed to source and map single tree data: A comparison to state-of-art LiDAR data collectors in terms of basal area estimates J. Toaza et al.
1153. OSA onset: An algorithm for determining the onset and duration of obstructive sleep apnea (OSA) M. Olaithe et al.
1154. Modelling crop yield in a wheat–soybean relay intercropping system: A simple routine in capturing competition for light J. Yu et al.
1155. Rapid Estimation of Contact Stresses in Imageless Total Knee Arthroplasty J. Kim et al.
1156. Improved classification of term and preterm births from electrohysterogram signals using machine learning with model error features O. Powar et al.
1157. Performance Evaluation of Wi-Fi Indoor Positioning by Regression-Based Coordinate Estimation in High-Density and Multi-Device Environments S. Üstebay
1158. Influence of design parameters on stresses in the small end of the connecting rod in sailboat and passenger car engines A. Elmaihy et al.
1159. Using convolutional neural networks to count parrot nest‐entrances on photographs from the largest known colony of Psittaciformes G. Zanellato et al.