1199 citations as recorded by crossref.

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4. A global hierarchical meta-analysis identifies multiple factors controlling the effect of biochar application on soil cadmium levels M. Wang et al. https://doi.org/10.1016/j.eti.2026.105008
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39. Electrical Power Optimization of Cloud Data Centers Using Federated Learning Server Workload Allocation A. Safari & A. Rahimi https://doi.org/10.3390/electronics14173423
40. 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. https://doi.org/10.1016/j.psep.2024.04.086
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42. Lean Six Sigma 4.0 Application in the Food and Beverage Industry: A Case Study W. dos Santos et al. https://doi.org/10.1109/EMR.2025.3538268
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46. Gas Emission Characteristics of Coal Particles Without Local Resistance and Optimization of the Emission Model X. Fu et al. https://doi.org/10.1021/acsomega.5c07489
47. Machine learning-based prediction of volatile compounds profiles in Saccharomyces cerevisiae fermentation simulating canned meat L. Du et al. https://doi.org/10.1038/s41538-025-00435-6
48. A Predictive Adaptive Learning Method for Multivariable Time Series With Mooney Viscosity Prediction as an Application Case Y. Zhu et al. https://doi.org/10.1109/ACCESS.2024.3365499
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53. Anaerobic co-digestion of lignocellulosic/lipidic wastes with cattle manure: Investigating biogas production and methane yield M. Mirabi et al. https://doi.org/10.1016/j.fuel.2024.131286
54. 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 https://doi.org/10.3389/frsen.2025.1506838
55. Enhancing Trajectory Tracking Performance of Underwater Gliders Using Finite-Time Sliding Mode Control Within a Reinforcement Learning Framework G. Wang et al. https://doi.org/10.3390/jmse13050884
56. Selection of representative general circulation models under climatic uncertainty for Western North America S. Mahjour et al. https://doi.org/10.2166/wcc.2024.541
57. 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. https://doi.org/10.1155/er/3844653
58. Improving UAV Remote Sensing Photogrammetry Accuracy Under Navigation Interference Using Anomaly Detection and Data Fusion C. Meng et al. https://doi.org/10.3390/rs17132176
59. Analysis of annual and monthly precipitation trends based on long-term data (Case study: Zohreh–Jirahi Basin in Iran) A. Bidgoli et al. https://doi.org/10.1007/s12040-023-02157-3
60. A hybrid hw-rfr forecasting model: case of moroccan pharmaceutical sector M. ATWANI et al. https://doi.org/10.56294/dm2025483
61. Drug Combination Recommendation Model for Systemic Lupus Erythematosus and Antiphospholipid Syndrome L. Wang et al. https://doi.org/10.3390/ph18081224
62. GPS L1 C/A intermediate-frequency signal processing of the CYGNSS and accuracy optimization for sea surface altimetry S. Yang et al. https://doi.org/10.1016/j.measurement.2026.120964
63. Sustainable Reservoir Management: Simulating Water Flooding to Optimize Oil Recovery in Heterogeneous Reservoirs Through the Evaluation of Relative Permeability Models A. Ismail et al. https://doi.org/10.3390/su17062526
64. Predictive insights into CO2 capture carbonation conversion rates under different Ca-looping conditions in fluidized bed reactors H. Behtash et al. https://doi.org/10.1007/s11356-025-36522-0
65. Machine Learning-Enabled performance exploration to unveil the potential of AuCuSe4 in thermophotovoltaic cell A. Abir et al. https://doi.org/10.1016/j.solener.2024.112870
66. VPBR: An Automatic and Low-Cost Vision-Based Biophysical Properties Recognition Pipeline for Pumpkin L. Dang et al. https://doi.org/10.3390/plants12142647
67. Evaluation of Different Filtering Methods Devoted to Magnetometer Data Denoising T. Pereira et al. https://doi.org/10.3390/electronics13112006
68. A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits R. Fernandes et al. https://doi.org/10.3390/su151411161
69. Moving Horizon Estimator for Space Vehicle Dynamics with Measurement Noise in Close Propinquity Operation I. Muritala et al. https://doi.org/10.1016/j.fraope.2024.100070
70. A Classified Branch–CapNet: A Multi-Modal Model with Classified Branches for the Capacity Prediction of Li–Ion Battery Cathodes J. Kim et al. https://doi.org/10.3390/math13223730
71. Internet of Things for Sustainable Carbon Footprint Reduction and Energy Management in Supply Chain S. Rahaman https://doi.org/10.1109/JIOT.2025.3630155
72. Modelling Soil Moisture Content with Hydrus 2D in a Continental Climate for Effective Maize Irrigation Planning N. Siphiwe et al. https://doi.org/10.3390/agriculture14081340
73. An Effective and Robust Parameter Estimation Method in a Self-Developed, Ultra-Low Frequency Impedance Spectroscopy Technique for Large Impedances B. Kuljic et al. https://doi.org/10.3390/electronics13163300
74. Multi-source ensemble transfer learning-based unmanned aerial vehicle flight data anomaly detection with limited data: From simulation to reality L. Yang et al. https://doi.org/10.1016/j.aei.2025.103255
75. A Robust Cross-Band Network for Blind Source Separation of Underwater Acoustic Mixed Signals X. Wang et al. https://doi.org/10.3390/jmse13071334
76. Machine learning to assess and support safe drinking water supply: a systematic review F. Feng et al. https://doi.org/10.1016/j.jece.2024.114481
77. Advancements in Remote Sensing Image Dehazing: Introducing URA-Net with Multi-Scale Dense Feature Fusion Clusters and Gated Jump Connection H. Liu et al. https://doi.org/10.32604/cmes.2024.049737
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83. Development of Evaluation Model for Building Energy Usage: Methodology Development and Case Study on Day-Care Centers in South Korea J. Park et al. https://doi.org/10.3390/su17188339
84. Assessing the potential of consumer-grade fish finders to improve coastal habitat mapping in data-poor areas P. Gomes et al. https://doi.org/10.1016/j.csr.2025.105590
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88. 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. https://doi.org/10.1109/TNSRE.2025.3623129
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97. Future Projections of Rain-on-Snow Floods and Their Population-Socioeconomic Exposure in the Northern Hemisphere Under Climate Change M. Feng et al. https://doi.org/10.3390/w18101142
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107. Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates W. Wang et al. https://doi.org/10.1002/aidi.202600010
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112. A generic framework for mix design of geopolymer for soil stabilization: Composition-informed machine learning model J. Zhang et al. https://doi.org/10.1016/j.compgeo.2024.106322
113. Prediction of Cell Survival Rate Based on Physical Characteristics of Heavy Ion Radiation A. Debreceni et al. https://doi.org/10.3390/toxics12080545
114. Forecasting of Successful Completion of University Study Programs: Data Pre-processing and Optimization of LAMA BPO Algorithm A. Iurasov & A. Iurasov https://doi.org/10.57005/ab.2022.1.5
115. Fuzzy expert system for the process of collecting and purifying acidic water: a digital twin approach T. Maratuly et al. https://doi.org/10.1007/s13198-026-03141-y
116. Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges O. Faust et al. https://doi.org/10.3390/s25010205
117. Modelling and Simulation of Marine Oil Snow Formation T. Akshaya et al. https://doi.org/10.1016/j.marpolbul.2025.118526
118. Non-Destructive Structural Deformation Reconstruction via Data-Driven Modal Superposition G. Liuzzo & P. Fanelli https://doi.org/10.3390/app16052168
119. An LSTM–AE–Bayes embedded gateway for real-time anomaly detection in agricultural wireless sensor networks J. Shu et al. https://doi.org/10.1016/j.atech.2025.100944
120. A data-informed cascading consequence modeling framework for hurricane-induced petrochemical facility disruptions K. Capshaw & J. Padgett https://doi.org/10.3389/fbuil.2025.1418492
121. Comparative Analysis of ARIMA, SARIMA and Prophet Model in Forecasting S. Kwarteng & P. Andreevich https://doi.org/10.11648/j.rd.20240504.13
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123. 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. https://doi.org/10.1159/000540437
124. Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features S. Zhang et al. https://doi.org/10.1109/ACCESS.2024.3525128
125. Hyperspectral Imaging with Enhanced Partial Least Squares Regression (PLSR) for Accurate Sago Powder Quality Evaluation P. Teo et al. https://doi.org/10.1080/00032719.2025.2592224
126. Disease and Economic Burden Averted by Hib Vaccination in 160 Countries: A Machine-Learning Analysis D. Zhou et al. https://doi.org/10.3390/vaccines13121197
127. Urbanization, climate variability, and groundwater dynamics in Eastern India: a mixed-effects modelling approach S. Parween https://doi.org/10.1007/s12665-025-12780-6
128. Risk Assessment for Linear Regression Models in Metrology D. Božić et al. https://doi.org/10.3390/app14062605
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134. Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al. https://doi.org/10.1109/TGRS.2025.3645345
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136. Characterizing High-Resolution Uneven Drought Conditions in Vietnam for More Reliable Hazard Assessment T. Le et al. https://doi.org/10.1007/s41748-026-01050-5
137. 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. https://doi.org/10.3390/bioengineering13020252
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139. 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 https://doi.org/10.3390/analytics4030018
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144. Research on applying machine learning models to predict and assess return on assets (ROA) P. Son & L. Duong https://doi.org/10.1007/s42107-024-01046-4
145. High-Resolution Daily XCH4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data M. Awad & S. Homayouni https://doi.org/10.3390/atmos16070806
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730. Establishing a Berry Sensory Evaluation Model Based on Machine Learning M. Liu et al. https://doi.org/10.3390/foods12183502
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770. Intelligent Classification Method for Tight Sandstone Reservoir Evaluation Based on Optimized Genetic Algorithm and Extreme Gradient Boosting Z. Mu et al. https://doi.org/10.3390/pr13051379
771. Integration of Computer Vision and Machine Learning for Automated pH Prediction I. Jeon et al. https://doi.org/10.3390/app16094557
772. Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning N. Tasmurzayev et al. https://doi.org/10.37394/232017.2023.14.12
773. Analysis of Precipitation Totals Based on Radar and Rain Gauge Data K. Dzwonkowski et al. https://doi.org/10.3390/rs17132157
774. Enhancing accuracy and efficiency in calibration of drinking water distribution networks through evolutionary artificial neural networks and expert systems C. Gomez et al. https://doi.org/10.2166/hydro.2025.061
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777. Double capped L1-norm extreme learning machine for regression and classification X. Wang et al. https://doi.org/10.1016/j.jfranklin.2025.108127
778. High-precision short-term industrial energy consumption forecasting via parallel-NN with Adaptive Universal Decomposition F. Yang et al. https://doi.org/10.1016/j.eswa.2025.128366
779. Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement I. Majid Mohammed & N. Ashidi Mat Isa https://doi.org/10.1109/ACCESS.2025.3558506
780. Optimizing sheep growth curves using a meta-heuristic algorithm M. Benvenga et al. https://doi.org/10.1007/s11250-024-04188-4
781. 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 https://doi.org/10.1177/09544062241253712
782. Predicción de la presión de burbujeo utilizando aprendizaje automático O. Gil https://doi.org/10.48168/innosoft.s11.a82
783. Practical Control of an Upper-Limb Rehabilitation Robotic Arm Using a PD Controller With Time-Delay Estimation T. Nha Nguyen et al. https://doi.org/10.1109/ACCESS.2025.3649756
784. Identification and Fuzzy Control of the Trajectory of a Parallel Robot: Application to Medical Rehabilitation E. Ramirez-Dominguez et al. https://doi.org/10.3390/act14100495
785. Multistage symbolic optimization for predictive thermal modeling of bifacial photovoltaic systems with solar tracking in tropical climates F. Lara-Vargas et al. https://doi.org/10.1016/j.applthermaleng.2026.131138
786. Effect of polymeric fiber reinforcement on thermal gradients and physical properties in refractory castables C. Sánchez Torres et al. https://doi.org/10.1080/21870764.2026.2672837
787. Data-driven decision making in school leadership: AI-based academic performance prediction using ML and SDT motivation O. Chavez & T. Palaoag https://doi.org/10.1108/AIIE-06-2025-0131
788. Monitoring Post-Fire Deciduous Shrub Cover Using Machine Learning and Multiscale Remote Sensing H. Trommer & T. Assal https://doi.org/10.3390/land14081603
789. Development of bubble point pressure and oil formation volume factor models using pressure-volume-temperature data G. Mwakipunda et al. https://doi.org/10.1016/j.jrmge.2025.02.027
790. 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. https://doi.org/10.1038/s41598-023-46021-2
791. Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development C. Pande et al. https://doi.org/10.1016/j.jclepro.2024.141035
792. Forecasting Residential Electricity Consumption Considering Climate Change, Socio-economic and Spatial Factors Y. Shin & H. Yoon https://doi.org/10.17208/jkpa.2025.10.60.5.239
793. Physics-based machine learning for predicting urban air pollution using decadal time series data C. Cao et al. https://doi.org/10.1088/2515-7620/add795
794. Estimation method for karst carbon sinks on the basis of a concentration prediction model Y. Zhen et al. https://doi.org/10.1016/j.jenvman.2024.123845
795. Calibration of Low-Cost Moisture Sensors in a Biochar-Amended Sandy Loam Soil with Different Salinity Levels M. Gómez-Astorga et al. https://doi.org/10.3390/s24185958
796. 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. https://doi.org/10.31073/acss98-02
797. LSTM and Temporal Fusion Transformers for daily evapotranspiration estimation using FLUXNET2015 and Google Earth Engine C. Achahboun et al. https://doi.org/10.1080/02626667.2026.2625280
798. Infrared target detection model based on global edge feature extraction M. Da et al. https://doi.org/10.1016/j.infrared.2025.106313
799. Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models V. Nwazelibe & J. Egbueri https://doi.org/10.1007/s12665-024-11533-1
800. Prediction of the friction torque of scaled blade bearings in a test rig using machine learning M. Hohmann et al. https://doi.org/10.1088/1742-6596/2767/5/052010
801. Validation of behavioural sampling techniques for 20-25 kg pigs during transport C. Kobek-Kjeldager et al. https://doi.org/10.1016/j.livsci.2024.105411
802. Comparison of the Performance of Fluorescent, Phosphorescent, and TADF Luminophores for Explosives Sensing M. Tonet et al. https://doi.org/10.1002/adsr.202500137
803. EvoNAS4Battery: An Evolutionary NAS Approach for Predicting the Remaining Useful Life of Lithium-Ion Batteries X. Chen et al. https://doi.org/10.1109/TIM.2025.3573358
804. A High Resolution Spatially Consistent Global Dataset for CO2 Monitoring A. Rakotoharisoa et al. https://doi.org/10.3390/rs17091617
805. 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. https://doi.org/10.1016/j.jece.2025.120704
806. Non-singular fast terminal sliding mode trajectory tracking control of cantilever piezo-electric stack actuator based on asymmetric hysteresis compensation M. He et al. https://doi.org/10.1088/1361-665X/ad9714
807. Optimizing office building performance in the HSWW region of China using simulation with Hyperopt CatBoost and SPEA2 Y. Huang et al. https://doi.org/10.1038/s41598-025-85267-w
808. Tropical Cyclone Track Prediction in the TCWC Indonesia Monitoring Area Using Deep Recurrent Neural Networks F. Alam et al. https://doi.org/10.48084/etasr.12531
809. Closed-loop inverse design of titanium alloys with multi-objective performance via multimodal data-driven modeling Q. Wei et al. https://doi.org/10.1016/j.rineng.2026.109298
810. Surrogate Modeling for Building Design: Energy and Cost Prediction Compared to Simulation-Based Methods N. Shirzadi et al. https://doi.org/10.3390/buildings15132361
811. Modeling the effects of speed limit cameras (SLCs) on air quality and traffic flow on access-controlled highways D. Akin et al. https://doi.org/10.1016/j.apr.2023.101920
812. Mechanism of microwave-enhanced catalytic of plastic cracking for hydrogen production over iron catalysts: A reactive molecular dynamics study L. Yao et al. https://doi.org/10.1016/j.fuel.2025.134646
813. Machine learning for dissolved oxygen prediction in the Manawatu River catchment, New Zealand I. Tenebe et al. https://doi.org/10.2166/wpt.2025.124
814. Three-dimensional Reverse Modeling and Hydraulic Analysis of the Intake Structure of Pumping Stations on Sediment-laden Rivers C. Xu et al. https://doi.org/10.1007/s11269-022-03385-w
815. Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network M. Biswas et al. https://doi.org/10.3390/electronics13244910
816. 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 https://doi.org/10.1016/j.jtherbio.2025.104147
817. 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. https://doi.org/10.1016/j.scitotenv.2023.169651
818. On predictive device-level controls for water source heat pumps in multi-family residential buildings S. Bhattacharya et al. https://doi.org/10.1016/j.enbuild.2025.116668
819. Optimizing Controlled-Resonance Acoustic Metamaterials with Perforated Plexiglass Disks, Honeycomb Structures, and Embedded Metallic Masses G. Ciaburro et al. https://doi.org/10.3390/fib13020011
820. Analyzing environment-transport relationships in metropolitan areas: A vulnerability-based geographic framework and prediction model J. Tong et al. https://doi.org/10.1016/j.jtrangeo.2026.104643
821. CMF-SnowNet: Cross-Modal Fusion With Attent-Guided GAN and Temporal ConvNeXt for Long-Term Snow Cover Prediction Y. Zhang et al. https://doi.org/10.1109/JSTARS.2026.3689534
822. Population-Level Impact of the Enterovirus A71 Vaccination Program on Hand, Foot, and Mouth Disease: Ecological Time-Series Study Y. Tong et al. https://doi.org/10.2196/85604
823. Machine Learning-Powered Forecasting of Climate Conditions in Smart Greenhouse Containing Netted Melons Y. Jeon et al. https://doi.org/10.3390/agronomy14051070
824. HiEnWrite: A Hindi-English Bilingual Dataset for Big Five Personality Detection S. Checker et al. https://doi.org/10.1145/3756010
825. Improved Long Short-Term Memory-Based Periodic Traffic Volume Prediction Method Y. Chen et al. https://doi.org/10.1109/ACCESS.2023.3305398
826. Comparative Analysis of Soft Computing Models for Predicting Viscosity in Diesel Engine Lubricants: An Alternative Approach to Condition Monitoring M. Pourramezan et al. https://doi.org/10.1021/acsomega.3c07780
827. A data-driven framework to inform sustainable management of animal manure in rural agricultural regions using emerging resource recovery technologies M. Zaki et al. https://doi.org/10.1016/j.cesys.2024.100188
828. Testing spatial interpolation methods for deep-time organic carbon burial in epicontinental seas by taking Sunda Shelf as an example Y. Yang et al. https://doi.org/10.1016/j.margeo.2025.107566
829. Predicting the electrochemical performance of biomass derived carbon hosts in lithium–sulfur batteries using machine learning A. Dharmesh et al. https://doi.org/10.1016/j.est.2025.118648
830. 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. https://doi.org/10.3390/agronomy15112495
831. Translation of machine learning approaches into gas hydrate saturation proxy: a case study from Krishna-Godavari (KG) offshore basin B. Mukherjee et al. https://doi.org/10.1007/s11001-024-09546-3
832. Deep Learning-Based Cardiac MRI Planning from Localizers to Cine Views Using Landmark Detection D. Dhruba et al. https://doi.org/10.1016/j.acra.2025.11.028
833. Advanced deep learning models for accurate and synergistic prediction of photocatalytic properties in doped BaTiO3 materials H. Lamouadene et al. https://doi.org/10.1016/j.matchemphys.2026.132062
834. Deep-Neural-Networks-Based Data-Driven Methods for Characterizing the Mechanical Behavior of Hydroxyl-Terminated Polyether Propellants R. Han et al. https://doi.org/10.3390/polym17050660
835. KE: A Knowledge Enhancing Framework for Machine Learning Models Y. Wang et al. https://doi.org/10.1021/acs.jpca.3c04076
836. Deep learning-based estimation of truck Turn Around Time at container port B. Shin et al. https://doi.org/10.1080/03088839.2025.2470437
837. Evaluation of Smart Building Integration into a Smart City by Applying Machine Learning Techniques M. Shahrabani & R. Apanaviciene https://doi.org/10.3390/buildings15122031
838. 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 https://doi.org/10.1021/acsomega.3c01676
839. 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. https://doi.org/10.1016/j.resourpol.2023.103747
840. Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution U. Lomoio et al. https://doi.org/10.1016/j.artmed.2024.103058
841. A model fusion optimization strategy for lithium mill equipment state prediction Y. Xiao et al. https://doi.org/10.1088/1361-6501/ad727c
842. Graph neural network-based remaining useful life prediction of milling tools using multi-sensor data S. Kumar et al. https://doi.org/10.1007/s42452-026-08390-x
843. Regime shifts in Arctic terrestrial hydrology manifested from impacts of climate warming M. Rawlins & A. Karmalkar https://doi.org/10.5194/tc-18-1033-2024
844. Parabolic Modeling Forecasts of Space and Time European Hydropower Production C. Lincaru et al. https://doi.org/10.3390/pr12061098
845. Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa N. Igwebuike et al. https://doi.org/10.1007/s12145-024-01623-w
846. Using a new threshold function in seismic data de-noising F. Qin et al. https://doi.org/10.1088/1742-6596/2958/1/012001
847. Detection and Counting of Small Target Apples under Complicated Environments by Using Improved YOLOv7-tiny L. Ma et al. https://doi.org/10.3390/agronomy13051419
848. Landslide susceptibility assessment using novel hybridized methods based on the support vector regression A. Jaafari https://doi.org/10.1016/j.ecoleng.2024.107372
849. GICL: A Cross-Modal Drug Property Prediction Framework Based on Knowledge Enhancement of Large Language Models N. Li et al. https://doi.org/10.1021/acs.jcim.5c00895
850. Adaptive Weighted Bregman Huber Total Variation Method for Terahertz Computed Tomography X. Cha et al. https://doi.org/10.1002/mop.70023
851. A novel autoencoder modeling method for intelligent assessment of bearing health based on Short-Time Fourier Transform and ensemble strategy Y. Hao et al. https://doi.org/10.1016/j.precisioneng.2023.09.007
852. Digital twinning, prediction and multi-objective optimization of an azeotrope system separation process in pharmaceutical manufacturing process B. Shan et al. https://doi.org/10.1016/j.cep.2024.109898
853. The DEM Registration Method Without Ground Control Points for Landslide Deformation Monitoring Y. Wang et al. https://doi.org/10.3390/rs16224236
854. Intelligent delignification: leveraging explainable AI for ozone transport modeling and optimization M. Rizwan et al. https://doi.org/10.1038/s41598-025-28638-7
855. Advancing weed morphotaxonomy through multivariate image-based analysis S. Dhawale et al. https://doi.org/10.1007/s43538-025-00509-9
856. Data Structure-Aware Ensemble Modeling for Time-Series Prediction: A Case Study of Sewage Generation J. Lee et al. https://doi.org/10.3390/app16104842
857. Comparative Performance Analysis of Machine Learning-Based Annual and Seasonal Approaches for Power Output Prediction in Combined Cycle Power Plants A. Aslan & A. Büyükköse https://doi.org/10.3390/en18195110
858. A framework for scalable ambient air pollution concentration estimation L. Berrisford et al. https://doi.org/10.1017/eds.2025.9
859. Prediction of Cancer Symptom Trajectory Using Longitudinal Electronic Health Record Data and Long Short-Term Memory Neural Network S. Chae et al. https://doi.org/10.1200/CCI.23.00039
860. 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. https://doi.org/10.1016/j.ijthermalsci.2025.110109
861. Statistical evaluation of the PHYGROW model: a case study in Ceará State, Brazil S. Maranhão et al. https://doi.org/10.1590/1678-4162-13303
862. Machine Learning and Artificial Intelligence in Surgical Research S. Srinivas & A. Young https://doi.org/10.1016/j.suc.2022.11.002
863. Hotspot Temperature Prediction of Relay Protection Equipment Based on a Physical-Model-Aided Data-Driven Method L. Jin et al. https://doi.org/10.3390/en17040816
864. 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. https://doi.org/10.1007/s00477-025-02959-5
865. Groundwater parameters estimation: A hybrid approach of convolutional layers with asynchronous and distributed bio-inspired algorithms K. Tesen et al. https://doi.org/10.1016/j.engappai.2025.112098
866. 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. https://doi.org/10.1007/s41870-023-01483-5
867. Efficiency Optimization of the Main Operating Points of an EV Traction Motor G. Lee & Y. You https://doi.org/10.3390/app15010368
868. Metal Eklemeli ve Geleneksel İmalat Yöntemleriyle Üretilen Alüminyum Profillerin Sıcaklık Davranışının Bulanık Mantık ve Yapay Zekâ Tabanlı Modellemesi K. Özsoy & B. Aksoy https://doi.org/10.35234/fumbd.1739022
869. 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. https://doi.org/10.1016/j.atech.2026.101792
870. Research on the Prediction of Higher Heating Value of Biochar Based on Machine Learning Trained with “Enhanced Data” C. Zhao et al. https://doi.org/10.1007/s12155-025-10895-z
871. Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework H. Wang et al. https://doi.org/10.1109/ACCESS.2025.3587902
872. Pedometric approaches to assess soil organic carbon dynamics in forest ecosystems: A review V. QASHA et al. https://doi.org/10.1016/j.pedsph.2025.07.017
873. Noise-Assessment-Based Screening Method for Remote Photoplethysmography Estimation K. Lee et al. https://doi.org/10.3390/app13179818
874. A Comparative and Regional Study of Atmospheric Temperature in the Near-Space Environment Using Intelligent Modeling Z. Li et al. https://doi.org/10.3390/forecast8010001
875. 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 https://doi.org/10.1016/j.ecolind.2023.110551
876. Physics-embedded machine learning search for Sm-doped PMN-PT piezoelectric ceramics with high performance R. Xin 辛 et al. https://doi.org/10.1088/1674-1056/ad51f3
877. Enhanced Time Series–Physics Model Approach for Dam Discharge Impacts on River Levels: Seomjin River, South Korea C. Jung et al. https://doi.org/10.3390/w17213057
878. Kolmogorov–Arnold Networks for Accident Risk Prediction at Highway-Rail Grade Crossings D. Alabintei & N. Attoh-Okine https://doi.org/10.1061/JTEPBS.TEENG-9381
879. IMA‐LSTM: An Interaction‐Based Model Combining Multihead Attention with LSTM for Trajectory Prediction in Multivehicle Interaction Scenario X. Yin et al. https://doi.org/10.1155/2024/3058863
880. Improved accuracy and less fault prediction errors via modified sequential minimal optimization algorithm M. Asim Shahid et al. https://doi.org/10.1371/journal.pone.0284209
881. A two-step approximation for quantifying the effects of geographical location, environment and stand on tree allometry Y. Huang et al. https://doi.org/10.1093/jpe/rtaf014
882. Innovative transformer architectures for long-term energy consumption analysis in buildings K. Elhabyb et al. https://doi.org/10.1080/17508975.2025.2506452
883. The Effect of Different Methacrylation Amounts on Physical Properties of Gelatin Methacryloyl Biomaterials: Machine Learning Approach S. Çakıcı & R. Tutar https://doi.org/10.18596/jotcsa.1473948
884. Optimizing the Interaction System for Treadmill Video Games Using a Smartphone’s Front Camera M. Martin et al. https://doi.org/10.3390/s26010020
885. Optimal design approach of interpenetrating pre-stressed metal-ceramic composites based on deep learning neural network K. Liu et al. https://doi.org/10.1016/j.compstruct.2025.119275
886. AI-Powered Spectral Imaging for Virtual Pathology Staining A. Soker et al. https://doi.org/10.3390/bioengineering12060655
887. Development of a Testing Method for the Accuracy and Precision of GNSS and LiDAR Technology K. Romero et al. https://doi.org/10.3390/agriengineering7090310
888. 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. https://doi.org/10.1007/s10653-023-01845-9
889. Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images N. Reed et al. https://doi.org/10.1103/PhysRevApplied.23.034035
890. LCLN-CA: A Survival Regression Analysis-Based Prediction Method for Catechin Content in Yunnan Sun-Dried Tea H. Li et al. https://doi.org/10.3390/horticulturae10121321
891. Nowcasting GDP Using Real-Time Highway Traffic Volume by Vehicle Type: Evidence from the Republic of Korea S. Kim et al. https://doi.org/10.3390/systems14040343
892. Improving sea level retrieval accuracy based on the novel GNSS-IR altimetry azimuth optimization model Y. Shen et al. https://doi.org/10.1080/01431161.2026.2648102
893. Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios D. Chen et al. https://doi.org/10.1038/s41598-024-67391-1
894. Spatio-Temporal Gap Filling of Sentinel-2 NDI45 Data Using a Variance-Weighted Kalman Filter and LSTM Ensemble I. Haidu et al. https://doi.org/10.3390/s25175299
895. Utilizing Machine Learning Models with Molecular Fingerprints and Chemical Structures to Predict the Sulfate Radical Rate Constants of Water Contaminants T. Tang et al. https://doi.org/10.3390/pr12020384
896. Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022 J. Lu et al. https://doi.org/10.1080/17538947.2025.2473639
897. Inter-comparison of medium-resolution satellite albedo retrieval techniques over snow and ice P. Fuchs et al. https://doi.org/10.1080/01431161.2025.2607758
898. 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. https://doi.org/10.3390/jimaging11090317
899. 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. https://doi.org/10.61435/ijred.2025.61489
900. LiteEnhanceNet: A lightweight network for real-time single underwater image enhancement S. Zhang et al. https://doi.org/10.1016/j.eswa.2023.122546
901. Modelling CO2 Emissions from Vehicles Fuelled with Compressed Natural Gas Based on On-Road and Chassis Dynamometer Tests M. Mądziel https://doi.org/10.3390/en17081850
902. Comparison of PlanetScope and Sentinel-2 Spectral Channels and Their Alignment via Linear Regression for Enhanced Index Derivation C. Baldin & V. Casella https://doi.org/10.3390/geosciences15050184
903. Machine learning for obtaining values of thermomechanical processing parameters of high-entropy alloys with desirable strength and ductility Z. Akhlaghi et al. https://doi.org/10.1016/j.intermet.2025.108892
904. Enhancing Neonatal Incubator Energy Management and Monitoring through IoT-Enabled CNN-LSTM Combination Predictive Model I. Aryanto et al. https://doi.org/10.3390/app132312953
905. A novel hierarchical porous ZIF-8 for effective removal of three non-steroidal anti-inflammatory drugs simultaneously from environment R. Chen et al. https://doi.org/10.1016/j.envres.2025.121078
906. Variability Assessment of Global Extreme Coastal Sea Levels Using Altimetry Data H. Lobeto & M. Menendez https://doi.org/10.3390/rs16081355
907. How Hydrological Extremes Affect the Chlorophyll-a Concentration in Inland Water in Jiujiang City, China: Evidence from Satellite Remote Sensing W. Jiang et al. https://doi.org/10.3390/ijgi14020085
908. Predicting mental workload of using exoskeletons for construction work: a deep learning approach A. Afolabi et al. https://doi.org/10.36680/j.itcon.2025.001
909. Combined geophysical and hydrogeological evaluation of groundwater characteristics in and around Obio Akpa Campus, Akwa Ibom State University, Nigeria A. Ekanem & S. Ebong https://doi.org/10.1007/s44288-025-00309-0
910. RT-CBAM: Refined Transformer Combined with Convolutional Block Attention Module for Underwater Image Restoration R. Ye et al. https://doi.org/10.3390/s24185893
911. Robust Registration of Multi-Source Terrain Point Clouds via Region-Aware Adaptive Weighting and Cauchy Residual Control S. Sun et al. https://doi.org/10.3390/rs17172960
912. Optimization of an Air Pressure System: A Multi-Objective Control and Modeling Approach V. Huilcapi et al. https://doi.org/10.1109/ACCESS.2024.3426986
913. Machine Learning Classification and Prediction of Wind Estimation Using Artificial Intelligence Techniques and Normal PDF H. Darwish & A. Al-Quraan https://doi.org/10.3390/su15043270
914. Habitat Assessment of Bocachico (Prochilodus magdalenae) in Ciénaga de Betancí, Colombia, Using a Habitat Suitability Index Model K. Vellojín-Muñoz et al. https://doi.org/10.3390/w16223312
915. A fusion strategy for terrestrial water storage anomaly inversion using joint GNSS and GRACE for Southwest China Y. Shen et al. https://doi.org/10.1016/j.ejrh.2025.102391
916. Accuracy of Automatic Passenger Counting in Open Mass Transit Systems: Insights from Italy B. Barabino et al. https://doi.org/10.2174/0126671212383074250407062430
917. Dynamic machine learning approach for workload prediction in cloud environments M. Nashaat et al. https://doi.org/10.1038/s41598-026-40777-z
918. Leveraging machine learning for analyzing structural behavior of a composite wind turbine blade R. Rafiee et al. https://doi.org/10.1016/j.engappai.2025.110895
919. ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants D. Santos et al. https://doi.org/10.1021/acs.jcim.5c01320
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