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1245. Machine Learning Powered Player Performance Prediction in Pro Baseball for Strategic Operations Y. Kim et al. https://doi.org/10.56977/jicce.2026.24.1.18
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1259. Spatial and Temporal Rainfall Variability over the Mountainous Central Pindus (Greece) S. Stefanidis & D. Stathis https://doi.org/10.3390/cli6030075
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1266. Befriend GenAI Chatbots: Exploring the Determinants of Parasocial Relationship in human-AI Interaction Through a Hybrid PLS-ANN-NCA Approach W. Zhong & J. Luo https://doi.org/10.1080/10447318.2025.2537794
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1276. Carbon Emission Prediction Model for Railway Passenger Stations on the Qinghai–Tibet Plateau G. Jia & Q. Wang https://doi.org/10.3390/su18083881
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1382. Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods M. Su et al. https://doi.org/10.3390/en12091680
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1384. Tail risk modelling of cryptocurrencies, gold, non-fungible token, and stocks Z. Barson & P. Owusu Junior https://doi.org/10.1016/j.resglo.2024.100229
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1458. Leveraging Floating Car Data (FCD) for Traffic Forecasting in Sensorless Roads D. Pagano et al. https://doi.org/10.1016/j.trpro.2026.02.087
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1464. Forest Fire Monitoring and Positioning Improvement at Subpixel Level: Application to Himawari-8 Fire Products H. Xu et al. https://doi.org/10.3390/rs14102460
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1472. Wheat yield prediction for sustainable food security using Sentinel-2 and machine learning N. Civelek et al. https://doi.org/10.51489/tuzal.1760511
1473. A Construction-Phase Reliability Framework for Hard Rock TBM Penetration Rate Prediction Under Delayed UCS Information N. Monthanopparat & T. Tanchaisawat https://doi.org/10.3390/geotechnics6030061
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1476. Optimizing simulation of summer precipitation by weather research and forecasting model over the mountainous southern Tibetan Plateau H. Liu et al. https://doi.org/10.1016/j.atmosres.2022.106484
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1478. Morphodynamic predictions based on Machine Learning. Performance and limits for pocket beaches near the Bilbao port M. Viñes et al. https://doi.org/10.3389/fenvs.2025.1600473
1479. Analysis of Spatial and Temporal Criteria for Altimeter Collocation of Significant Wave Height and Wind Speed Data in Deep Waters R. Campos https://doi.org/10.3390/rs15082203
1480. Quality improvement in sand casting process: a hybrid approach based on machine learning and metaheuristic optimization methods Y. Çiçek & F. Gürbüz https://doi.org/10.1007/s10845-025-02698-y
1481. Kinetic modeling, sensitivity analysis, and techno-economic feasibility of ethanol fermentation from non-sterile carob extract-based media in Saccharomyces cerevisiae biofilm reactor under a repeated-batch fermentation process M. Germec et al. https://doi.org/10.1016/j.fuel.2022.124729
1482. Recommendation System Algorithms on Location-Based Social Networks: Comparative Study A. Al-Nafjan et al. https://doi.org/10.3390/info13040188
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1485. Enhancing Urban Ecological Risk Assessment by Integrating Spatial Modeling and Machine Learning for Resilient Environmental Management in UNESCO World Heritage Cities Z. Rahaman et al. https://doi.org/10.1007/s41748-024-00468-z
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1488. Data-Driven Approach for Predicting Gasoline Yield in an FCC Unit Charged with Light and Heavy Feedstocks: A PCA-Guided Grouping for Enhanced Modeling Experience K. Alelg et al. https://doi.org/10.1021/acs.jcim.5c02281
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1501. Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees H. Ly et al. https://doi.org/10.3390/ma12091544
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1503. APPLICATION OF HEURISTIC OPTIMIZATION APPROACHES TO EVALUATE COMPACTION PARAMETERS M. Rahman https://doi.org/10.36937/cebel.2025.1995
1504. Application of the empirical line method (ELM) to calibrate the airborne Daedalus-CZCS scanner L. Pompilio et al. https://doi.org/10.1080/22797254.2017.1399087
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1514. Selective Separation of Calcium from Lithium in Synthetic Geothermal Brine Using Ion Exchange: Breakthrough Curve Analysis and Machine Learning Modeling Insights M. Musa et al. https://doi.org/10.1007/s40831-026-01541-9
1515. Data-driven approach for intelligent tunnel dust concentration prediction T. Yang et al. https://doi.org/10.1088/1755-1315/1337/1/012030
1516. Model reconstruction method of irregular columnar jointed rock masses and corresponding elastic parameter analysis S. Li et al. https://doi.org/10.1016/j.compgeo.2024.106932
1517. A Machine Learning Framework for the Reconstruction of Composite Fatigue and Fracture Properties: A Synthetic Data Study S. Tiwari & A. Gupta https://doi.org/10.3390/ma19061131
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1520. Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study R. do Nascimento et al. https://doi.org/10.1007/s40745-021-00321-4
1521. Is Noninvasive Brachial Systolic Blood Pressure an Accurate Estimate of Central Aortic Systolic Blood Pressure? Y. Shih et al. https://doi.org/10.1093/ajh/hpv164
1522. Remaining Useful Life Prediction of Cutting Tools Based on a Depthwise Separable TCN-BiLSTM Model with Temporal Attention S. Wang et al. https://doi.org/10.3390/lubricants13110507
1523. Short-Term Electricity Load Forecasting and Seasonality Analysis Using Temperature and Artificial Intelligence Methods in the Southeastern Anatolia Region S. Çadırcı & İ. Tekdemir https://doi.org/10.38088/jise.1635104
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1766. Integration of PINN with Conventional Well Logging for Few-Shot TOC Prediction in Ultradeep Source Rocks T. He et al. https://doi.org/10.1021/acsomega.5c10927
1767. Uncertainty of Coupled Model Intercomparison Projects 6 (CMIP6) in Indonesia’s maritime continental region for the historical period H. Agiel et al. https://doi.org/10.1088/1755-1315/1314/1/012020
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1776. Statistical Optimization of Alkaline-Activated Carbonation of Coal Fly Ash for CO2 Sequestration and Heavy Metal Stabilization P. Triwigati et al. https://doi.org/10.1021/acssusresmgt.5c00284
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1791. VALIDATION OF TROPICAL RAINFALL MEASURING MISSION (TRMM) DATA IN THE UPPER KAPUAS RIVER BASIN S. Barlian Soeryamassoeka et al. https://doi.org/10.33736/jcest.2618.2020
1792. Application of a Generic Participatory Decision Support System for Irrigation Management for the Case of a Wine Grapevine at Epirus, Northwest Greece I. Tsirogiannis et al. https://doi.org/10.3390/horticulturae9020267
1793. Study of underwater sound effects relation to current velocity and Siganus sp. population in seaweed cultivation area M. Kasim et al. https://doi.org/10.1088/1755-1315/1273/1/012014
1794. Intelligent forecasting of tunnel deformation in underground coal mines using a dynamic swarm-tuned adaptive neuro-fuzzy inference system for knowledge-driven ground control S. Mahdevari https://doi.org/10.1016/j.aei.2025.104287
1795. IoT-integrated deep learning for forecasting and decision support in reservoir water management under drought conditions R. Parada & A. Sanz https://doi.org/10.1016/j.iot.2025.101780
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1801. Assessing the Impact of Stochastic Perturbations in Cloud Microphysics using GOES-16 Infrared Brightness Temperatures S. Griffin et al. https://doi.org/10.1175/MWR-D-20-0078.1
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1803. Model order reduction by radial basis function network for sparse reconstruction of an industrial natural gas boiler J. Park et al. https://doi.org/10.1016/j.csite.2022.102288
1804. High-Resolution Dynamic Monitoring of Rocky Desertification of Agricultural Land Based on Spatio-Temporal Fusion X. Zhao et al. https://doi.org/10.3390/land13122173
1805. Mapping Aboveground Biomass of Four Typical Vegetation Types in the Poyang Lake Wetlands Based on Random Forest Modelling and Landsat Images R. Wan et al. https://doi.org/10.3389/fpls.2019.01281
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1808. Local climate change indications: Historical trends, multi-model projections and implications in Bilate Catchment, Southern Ethiopia H. Gisha Kuma et al. https://doi.org/10.1088/1755-1315/1016/1/012030
1809. Modelling actual evapotranspiration using a two source energy balance model with Sentinel imagery in herbaceous-free and herbaceous-cover Mediterranean olive orchards S. Aguirre-García et al. https://doi.org/10.1016/j.agrformet.2021.108692
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1822. Discrepancy in growth resilience to drought among different stand-aged forests declines going from a semi-humid region to an arid region B. Wang et al. https://doi.org/10.1016/j.foreco.2022.120135
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1824. Future climate projections for South Aegean and Salzburg region based on statistical and dynamical downscaling - similarities and discrepancies M. Bügelmayer-Blaschek et al. https://doi.org/10.1088/2515-7620/addc3f
1825. Time Series Analysis and Forecasting of Solar Generation in Spain Using eXtreme Gradient Boosting: A Machine Learning Approach C. Saigustia & P. Pijarski https://doi.org/10.3390/en16227618
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2131. IoT Data Imputation Accuracy Enhancement: A Spatiotemporal Causal Mamba-Diffusion Imputation Model X. Tian et al. https://doi.org/10.1109/JIOT.2025.3590470
2132. A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system H. Zhang et al. https://doi.org/10.1016/j.asoc.2021.108162
2133. Eye fatigue estimation using blink detection based on Eye Aspect Ratio Mapping(EARM) A. Kuwahara et al. https://doi.org/10.1016/j.cogr.2022.01.003
2134. Runout of rainfall-induced landslides in Malaysia K. Sim et al. https://doi.org/10.1007/s10669-025-10036-z
2135. Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson’s Disease J. Mekyska et al. https://doi.org/10.1007/s12559-018-9575-8
2136. Research on Effectiveness Evaluation Method of Vehicle Speed Prediction in Predictive Energy Management C. Sun et al. https://doi.org/10.3390/en19020325
2137. Optimising the computerised adaptive test to reliably reduce the burden of administering the CLEFT-Q: A Monte Carlo simulation study C. Harrison et al. https://doi.org/10.1016/j.bjps.2020.12.029
2138. A novel vehicle-bridge interaction framework for long-span bridges considering multi-scale heterogeneous traffic pattern Z. Huang et al. https://doi.org/10.1016/j.aei.2025.103871
2139. Novel Online Network Intrusion Detection System for Industrial IoT Based on OI-SVDD and AS-ELM E. Gyamfi & A. Jurcut https://doi.org/10.1109/JIOT.2022.3172393
2140. Potential Impact of Future Climates on Rice Production in Ecuador Determined Using Kobayashi’s ‘Very Simple Model’ D. Portalanza et al. https://doi.org/10.3390/agriculture12111828
2141. Enhancing Wind Power Forecasting in the Spanish Market Through Transformer Neural Networks and Temporal Optimization T. Oriol et al. https://doi.org/10.3390/su17198655
2142. Enhancing LSTM Predictions: A Novel Approach to Stock Market Efficiency Evaluation with Retrainable LSTM Model M. Gharooni Khoshkehbar et al. https://doi.org/10.2139/ssrn.4782069
2143. Chemical recycling of polyethylene terephthalate (PET) to monomers: Mathematical modeling of the transesterification reaction of bis(2-hydroxyethyl) terephthalate to dimethyl terephthalate L. Brivio et al. https://doi.org/10.1016/j.ces.2023.119466
2144. Research on Multistate Variable Prediction of a Master‐Slave Electric‐Hydraulic Hybrid Vehicle Based on CNN‐LSTM Model with Attention Mechanism H. Chen et al. https://doi.org/10.1002/ente.202300919
2145. SCGAN-enhanced surrogate modeling for FEM analysis of induction motors: A practical use case U. Salaberria-Flaño et al. https://doi.org/10.1016/j.rineng.2025.106061
2146. Identification and 3D reconstruction of semi-rigid base loose distress from GPR B-scan using Generative Adversarial Network B. Zhang et al. https://doi.org/10.1016/j.conbuildmat.2024.139081
2147. C3DGS: Compressing 3D Gaussian Model for Surface Reconstruction of Large-Scale Scenes Based on Multiview UAV Images J. Qian et al. https://doi.org/10.1109/JSTARS.2025.3529261
2148. DFT calculations of metal-organic I-III-VI semiconductor clusters: Benchmark of exchange-correlation functionals and localized basis sets A. Olejniczak et al. https://doi.org/10.1016/j.commatsci.2019.03.036
2149. Prediction of surface roughness in duplex stainless steel face milling using artificial neural network G. Vasconcelos et al. https://doi.org/10.1007/s00170-024-13955-4
2150. Explainable multi-sensor geospatial modeling of forest biomass dynamics under compound climate extremes in subtropical monsoon regions B. Xu et al. https://doi.org/10.1080/15481603.2026.2658313
2151. Assessment and Calibration of ERA5 Severe Winds in the Atlantic Ocean Using Satellite Data R. Campos et al. https://doi.org/10.3390/rs14194918
2152. How accurate are estimates of flower visitation rates by pollinators? Lessons from a spatially explicit agent-based model M. Santos et al. https://doi.org/10.1016/j.ecoinf.2020.101077
2153. Long-Term Traffic Flow Prediction for Highways Based on STLLformer Model Y. Shen et al. https://doi.org/10.3390/su172210078
2154. Inductive reasoning for significant concept and pattern discovery in cognitive IoT V. Jha & P. Tripathi https://doi.org/10.1007/s11761-024-00416-9
2155. Optical design and coating optimization of the Wolter-I X-ray telescope Y. Geng et al. https://doi.org/10.1364/AO.533818
2156. Drivers and threshold responses of surface structural vulnerability in the hilly dryland of southern China Y. Cai et al. https://doi.org/10.1016/j.jenvman.2026.130347
2157. Rainfall estimation methods in the Brazilian semiarid region: 30‐year evaluation on a monthly scale V. dos Santos et al. https://doi.org/10.1002/joc.6723
2158. A Two-Parameter Model for Water-Lubricated Pipeline Transportation of Unconventional Crudes S. Rushd et al. https://doi.org/10.3390/en14185665
2159. Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms T. Pradeep et al. https://doi.org/10.3390/infrastructures6090129
2160. Deep learning mechanism and big data in hospitality and tourism: Developing personalized restaurant recommendation model to customer decision-making S. Yang et al. https://doi.org/10.1016/j.ijhm.2024.103803
2161. A review of the top of the barrier nanotransistor models for semiconductor nanomaterials M. Chuan et al. https://doi.org/10.1016/j.spmi.2020.106429
2162. Nested Cross-Validation for HBV Conceptual Rainfall–Runoff Model Spatial Stability Analysis in a Semi-Arid Context M. El Garnaoui et al. https://doi.org/10.3390/rs16203756
2163. Transformer-Based hyperspectral image analysis for phenotyping drought tolerance in blueberries M. Rahman et al. https://doi.org/10.1016/j.compag.2024.109684
2164. Bernstein polynomials and Bezier curves: a novel modeling approach to secure ECG data transmission P. Rajagopal et al. https://doi.org/10.1007/s41870-023-01629-5
2165. Predicting exposure concentrations of chemicals with a wide range of volatility and hydrophobicity in different multi-well plate set-ups J. Stadnicka-Michalak et al. https://doi.org/10.1038/s41598-021-84109-9
2166. Fuzzy midpoint–based imputation methods for non-parametric survival estimation with interval-censored data K. Manungo et al. https://doi.org/10.3389/fams.2026.1836441
2167. Predicting unparalleled degradation progression in PV module using simulation of shunt resistance experimental data H. Mahdi https://doi.org/10.1016/j.egyr.2024.09.012
2168. Applications of machine learning algorithms and neural networks in slope stability analysis: a review and outlook D. Li et al. https://doi.org/10.1007/s12517-025-12375-2
2169. Predictive modeling of combined cycle power plant performance using a digital twin-based neural ODE approach A. Wan et al. https://doi.org/10.1016/j.jobe.2024.110390
2170. Predicting hydrogen production from formic acid dehydrogenation using smart connectionist models S. Tazikeh et al. https://doi.org/10.1016/j.ijhydene.2025.01.502
2171. A Mathematical and Computational Model for Multiple COVID-19 Waves Applied to Kenya W. Ogana et al. https://doi.org/10.4236/jamp.2025.134072
2172. QMe14S: A Comprehensive and Efficient Spectral Data Set for Small Organic Molecules M. Yuan et al. https://doi.org/10.1021/acs.jpclett.5c00839
2173. Prediction of sensory textures of cosmetics using large amplitude oscillatory shear and extensional rheology H. Lee et al. https://doi.org/10.1515/arh-2024-0016
2174. A Holistic Integration of Machine Learning for Selecting Optimum Ratio of Nanoparticles in Epoxy-Based Nanocomposite Insulators A. Siddique et al. https://doi.org/10.3390/pr13082330
2175. SVD-based adaptive fuzzy for generalized transportation M. Aljanabi et al. https://doi.org/10.1016/j.aej.2024.03.020
2176. Prediction of Polish Holstein's economical index and calving interval using machine learning J. Wełeszczuk et al. https://doi.org/10.1016/j.livsci.2022.105039
2177. Data-Driven Approaches for Vibroacoustic Localization of Leaks in Water Distribution Networks R. Liu et al. https://doi.org/10.1007/s40710-024-00682-x
2178. Determination of the composition of heterogeneous binder solutions by surface plasmon resonance biosensing J. Gaudreault et al. https://doi.org/10.1038/s41598-021-83268-z
2179. FDST-GCN: A Fundamental Diagram based Spatiotemporal Graph Convolutional Network for expressway traffic forecasting J. Zhang et al. https://doi.org/10.1016/j.physa.2023.129173
2180. 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. https://doi.org/10.1080/27658511.2026.2623335
2181. Mobility aware autonomic approach for the migration of application modules in fog computing environment J. Martin et al. https://doi.org/10.1007/s12652-020-01854-x
2182. Simulation of the Hydrodynamic Functioning of the Cavally River Using a Coupled 1D-2D Model in the Ity Area (Zouan-Hounien in C&#244;te d’Ivoire) A. Yao et al. https://doi.org/10.4236/ojmh.2021.114005
2183. Influence of climate variability and land cover dynamics on the spatio-temporal NDVI patterns in western hydrological regions of Bangladesh J. Akhter & R. Afroz https://doi.org/10.1016/j.heliyon.2024.e32625
2184. Development of High Resolution Cloud Cover Climatology Databank Using Merged Manual and Satellite Datasets over Ghana, West Africa P. Asilevi Junior et al. https://doi.org/10.1080/07055900.2022.2072266
2185. Preparation of multifunctional hydrogels based on co-pigment-polysaccharide complexes and establishment of a machine learning monitoring platform F. Cui et al. https://doi.org/10.1016/j.ijbiomac.2024.129258
2186. Proposal of Bot Detection Method by Multi-Source Access Log Analysis T. Tanaka & K. Tsuda https://doi.org/10.1541/ieejeiss.141.1205
2187. Review of medical image quality assessment L. Chow & R. Paramesran https://doi.org/10.1016/j.bspc.2016.02.006
2188. A new infiltration model for simulating soil water movement in canal irrigation under laboratory conditions Q. Fu et al. https://doi.org/10.1016/j.agwat.2018.10.021
2189. Acoustic sampling of Antarctic krill with simulated underwater buoyancy gliders: Does the sawtooth dive pattern work? D. Kinzey et al. https://doi.org/10.3389/fmars.2022.1064181
2190. A method on modelling and analyzing the power losses in vehicle transmission Y. Shen & S. Rinderknecht https://doi.org/10.1007/s10010-018-0276-y
2191. Modeling Salmonella spp. inactivation in chicken meat subjected to isothermal and non-isothermal temperature profiles T. Milkievicz et al. https://doi.org/10.1016/j.ijfoodmicro.2021.109110
2192. Predicting Missing Values in Spatio-Temporal Remote Sensing Data F. Gerber et al. https://doi.org/10.1109/TGRS.2017.2785240
2193. New strength–strain model and stress–strain relationship for square and rectangular concrete columns confined with CFRP wraps N. Diboune et al. https://doi.org/10.1080/15376494.2022.2067604
2194. Using an inverse surrogate model for determining building thermal characteristics L. Jowett-Lockwood & R. Evins https://doi.org/10.1080/19401493.2025.2487459
2195. Estimation of the Concentration of XCO2 from Thermal Infrared Satellite Data Based on Ensemble Learning X. Gong et al. https://doi.org/10.3390/atmos15010118
2196. Porovnání kvality schematizace údolnice extrahované z dat DMR 4G, DMR 5G a jeho derivátů L. Bureš et al. https://doi.org/10.46555/VTEI.2024.01.001
2197. Addressing Spatial Heterogeneity in the Discrete Generalized Nash Model for Flood Routing B. Yan et al. https://doi.org/10.3390/w13213133
2198. A Low-Cost 3D Mapping System for Indoor Scenes Based on 2D LiDAR and Monocular Cameras X. Li et al. https://doi.org/10.3390/rs16244712
2199. Predicting the Performance of PEM Fuel Cells by Determining Dehydration or Flooding in the Cell Using Machine Learning Models J. Zaveri et al. https://doi.org/10.3390/en16196968
2200. Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps S. Karalasingham et al. https://doi.org/10.3390/rs17030461
2201. Comparative Evaluation of NARX Model Training Algorithms for PM₁₀ Forecasting in Amasya, TÜRKİYE G. Özdoğan Sarıkoç https://doi.org/10.65520/erciyesfen.1911367
2202. The effect of climate change on groundwater level and its prediction using modern meta-heuristic model R. Dehghani et al. https://doi.org/10.1016/j.gsd.2021.100702
2203. Secondary iron ion contamination of water in the water supply network M. Wojtkowska & M. Potyralla https://doi.org/10.5004/dwt.2022.28970
2204. Comparing field-scale eddy covariance measurements and crop coefficient estimates of alfalfa evapotranspiration to OpenET model estimates and exploring water budget implications in a dryland environment L. Sabiston et al. https://doi.org/10.1007/s00271-024-00941-7
2205. Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting M. AL-Musaylh et al. https://doi.org/10.1016/j.apenergy.2018.02.140
2206. Early warning indicators for mesophilic anaerobic digestion of corn stalk: a combined experimental and simulation approach Y. Wu et al. https://doi.org/10.1186/s13068-019-1442-7
2207. Stabilization of Expansive Clays with Basalt Fibers and Prediction of Strength by Machine Learning S. Sert et al. https://doi.org/10.1007/s13369-024-08752-w
2208. A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data Y. Bao et al. https://doi.org/10.1016/j.agsy.2016.10.006
2209. Modeling the effect of temperature history on the lag phase duration of Listeria monocytogenes H. Kapoor et al. https://doi.org/10.1016/j.microb.2026.100771
2210. Expertise Detection in Crowdsourcing Forums Using the Composition of Latent Topics and Joint Syntactic–Semantic Cues Y. Woldemariam https://doi.org/10.1007/s42979-021-00832-0
2211. Explainable Machine Learning Prediction of Vehicle CO2 Emissions for Sustainable Energy and Transport D. Yuan et al. https://doi.org/10.3390/en18205408
2212. Comparison of RBF and MLP neural network performance and regression analysis to estimate carbon sequestration F. Cheshmberah et al. https://doi.org/10.1007/s13762-020-02696-y
2213. Advancements in Mixed Reality for Autonomous Vehicle Testing and Advanced Driver Assistance Systems: A Survey I. Argui et al. https://doi.org/10.1109/TITS.2024.3473740
2214. Evaluation of Water Quality Based on a Machine Learning Algorithm and Water Quality Index for Mid Gangetic Region (South Bihar plain), India A. Gupta et al. https://doi.org/10.1007/s12594-021-1821-0
2215. Compressibility of expansive soil mixed with sand and its correlation to index properties A. Alnmr et al. https://doi.org/10.1016/j.heliyon.2024.e35711
2216. Towards Rational Design of Confined Catalysis in Carbon Nanotube by Machine Learning and Grand Canonical Monte Carlo Simulations C. Yang et al. https://doi.org/10.1002/anie.202421552
2217. The Phase Noise Transfer Model in the Phase-Generated-Carrier-Based Interferometric Fiber-Optic Sensor Y. Zhang et al. https://doi.org/10.1109/JSEN.2022.3180587
2218. The Role of Performance Metrics in Estimating Market Values of Footballers in Europe's Top Five Leagues M. Yalçınkaya & M. Işık https://doi.org/10.54141/psbd.1489554
2219. Generation of Loss Functions from Matrix-Based Binary Classification Metrics D. Han et al. https://doi.org/10.1145/3805705
2220. Analysis and Modeling of Statistical Distribution Characteristics for Multi-Aspect SAR Images R. Zhu et al. https://doi.org/10.3390/rs17071295
2221. Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets C. Mo et al. https://doi.org/10.3390/w16040530
2222. A comparison of methods for the derivation of classroom ventilation rates from CO2 measurements F. Pollozhani et al. https://doi.org/10.1016/j.buildenv.2026.114288
2223. Accounting for Local Geological Variability in Sequential Simulations—Concept and Application A. Linsel et al. https://doi.org/10.3390/ijgi9060409
2224. Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases H. Ko et al. https://doi.org/10.1155/2023/9965226
2225. Adaptive Antenna Array Control Algorithm in Radiocommunication Systems M. Wnuk https://doi.org/10.3390/a17020081
2226. Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms M. Al-Musaylh et al. https://doi.org/10.3390/en13092307
2227. Toward Improving the Efficiency of Software Development Effort Estimation via Clustering Analysis V. Van Hai et al. https://doi.org/10.1109/ACCESS.2022.3185393
2228. Climate change and crop yields in Zambia: historical effects and future projections K. Mulungu et al. https://doi.org/10.1007/s10668-020-01146-6
2229. CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation A. Lou et al. https://doi.org/10.1016/j.compbiomed.2023.106579
2230. Downdrift Port Siltation Adjacent to a River Mouth: Mechanisms and Effects of Littoral Sediment Transport to the Navigation Channel A. Romdani et al. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000700
2231. Prediction of the spatial distribution of soil organic carbon content in Central European agriculturally used peatlands: a case study of the Grójec Valley, Central Poland S. Pindral et al. https://doi.org/10.1007/s11368-026-04271-3
2232. Fire Resistance Prediction in FRP-Strengthened Structural Elements: Application of Advanced Modeling and Data Augmentation Techniques Ü. Işıkdağ et al. https://doi.org/10.3390/pr13103053
2233. Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion M. Nasimi et al. https://doi.org/10.1080/01431161.2025.2600097
2234. Calibration of microwave antenna for porous materials moisture evaluation using frequency domain analysis K. Tabiś et al. https://doi.org/10.1088/1742-6596/2628/1/012030
2235. An materials informatics approach to Ni-based single crystal superalloys lattice misfit prediction X. Jiang et al. https://doi.org/10.1016/j.commatsci.2017.09.061
2236. Surface Roughness Prediction of AISI 304 Steel in Nanofluid Assisted Turning Using Machine Learning Technique P. Prasad et al. https://doi.org/10.4028/p-wwb643
2237. Machine learning–assisted prediction of heat fluxes through thermally anisotropic building envelopes Z. Shen et al. https://doi.org/10.1016/j.buildenv.2023.110157
2238. A novel approach to predict green density by high-velocity compaction based on the materials informatics method K. Zhang et al. https://doi.org/10.1007/s12613-019-1724-x
2239. Capturing Curved Lag Plots in Dye Adsorption Kinetics Using a Generalized Three-State Discrete-Time Markov Chain Model D. Lei & J. Huang https://doi.org/10.1007/s12221-025-01302-7
2240. Monitoring, Diffusion and Source Speculation Model of Urban Soil Pollution Z. Li et al. https://doi.org/10.3390/pr8111339
2241. Advanced Machine Learning and Gene Expression Programming Techniques for Predicting CO₂-Induced Alterations in Coal Strength Z. Liu et al. https://doi.org/10.32604/cmes.2025.062426
2242. INITIAL APPLICATION OF NONLINEAR REGRESSION MODELS TO ASSESS BIOLOGICAL SELF-PURIFICATION CAPACITY IN VUNG RO BAY (PHU YEN) N. Huan & N. Hieu https://doi.org/10.15625/1859-3097/18/4A/13641
2243. Spurring sustainability commitment strategy of family-owned SMEs: A multi-analytical SEM & ANFIS perspective K. Khaw et al. https://doi.org/10.1016/j.hitech.2023.100453
2244. Development of a System for Predicting Photovoltaic Power Generation and Detecting Defects Using Machine Learning S. Lee & W. Lee https://doi.org/10.3745/KTCCS.2016.5.10.353
2245. Machine learning approaches for enhanced estimation of reference evapotranspiration (ETo): a comparative evaluation A. Farag https://doi.org/10.1038/s41598-025-23166-w
2246. Prediction of total carotenoids, color, and moisture content of carrot slices during hot air drying using non‐invasive hyperspectral imaging technique R. Md Saleh et al. https://doi.org/10.1111/jfpp.16460
2247. Calibration and validation of the AquaCrop model for simulating cotton growth under a semi-arid climate in Uzbekistan J. Boulange et al. https://doi.org/10.1016/j.agwat.2025.109360
2248. MapGen-Diff: An End-to-End Remote Sensing Image to Map Generator via Denoising Diffusion Bridge Model J. Tian et al. https://doi.org/10.3390/rs16193716
2249. The Capabilities of WRF in Simulating Extreme Rainfall over the Mahalapye District of Botswana K. Monaka et al. https://doi.org/10.3390/atmos17020135
2250. Parallel Princeton Ocean Model based on OpenACC Y. Wang et al. https://doi.org/10.1016/j.envsoft.2025.106370
2251. Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm B. Mohammadi & S. Mehdizadeh https://doi.org/10.1016/j.agwat.2020.106145
2252. Analyzing the ENVI-met microclimate model’s performance and assessing cool materials and urban vegetation applications–A review S. Tsoka et al. https://doi.org/10.1016/j.scs.2018.08.009
2253. Real option valuation using Weibull distribution: a new framework for depreciation risk management S. Ko https://doi.org/10.1108/JDQS-10-2024-0041
2254. Load prediction for high-speed train bogie frames under multiple speed conditions using a hybrid 1DCNN-LSTM model Y. Chen et al. https://doi.org/10.1016/j.ijfatigue.2026.109790
2255. Machine learning technology for early prediction of grain yield at the field scale: A systematic review J. Leukel et al. https://doi.org/10.1016/j.compag.2023.107721
2256. Discrete-Time Markov Chain-Based Adsorption Kinetic Model for Textile Exhaust Dyeing D. Lei & J. Huang https://doi.org/10.1007/s12221-025-01010-2
2257. Intercomparison of tropical Indian Ocean circulation in ocean reanalysis and evaluation in CMIP6 climate models P. Bhanu Deepika et al. https://doi.org/10.1016/j.dynatmoce.2024.101456
2258. Evolutionary Framework with Bidirectional Long Short-Term Memory Network for Stock Price Prediction H. Zheng et al. https://doi.org/10.1155/2021/8850600
2259. Recent Advances in Deep Learning-Based Toxicity Prediction of Emerging Organic Pollutants in Freshwater Ecosystems T. Kankpiabe et al. https://doi.org/10.1007/s40726-026-00401-0
2260. Ultrasonic testing on evaluation of concrete residual compressive strength: A review M. Moura et al. https://doi.org/10.1016/j.conbuildmat.2023.130887
2261. HIPACO: An RSSI Indoor Positioning Algorithm Based on Improved Ant Colony Optimization Algorithm Y. Zhao & B. Jin https://doi.org/10.3390/a18100654
2262. Machine learning models for predicting physical properties in asphalt road construction: A systematic review J. Leukel et al. https://doi.org/10.1016/j.conbuildmat.2024.137397
2263. Predicting single-cell protein production from food-processing wastewater in sequencing batch reactors using ensemble learning R. Huang et al. https://doi.org/10.1016/j.biortech.2025.132561
2264. Analytical study of multi-layer one-dimensional spatially dependent solute transport modeling P. Bharti et al. https://doi.org/10.1007/s10652-025-10058-w
2265. A Study on Data Acquisition for a Centrifugal Pump using a CFD-based Digital Twin Simulation Model H. Park et al. https://doi.org/10.14801/jkiit.2026.24.4.19
2266. Assessing spatial predictive models in the environmental sciences: Accuracy measures, data variation and variance explained J. Li https://doi.org/10.1016/j.envsoft.2016.02.004
2267. A Spatiotemporal Flight Trajectory Prediction and Online Learning Framework Based on Integrated Transformer-Bidirectional Gated Recurrent Unit Y. Liu et al. https://doi.org/10.1109/TITS.2025.3614658
2268. Electrical resistivity tomography for characterization of carbon-rich rocks (shungites) P. Ryazantsev & Y. Deines https://doi.org/10.1016/j.jappgeo.2022.104667
2269. Machine learning-driven mapping of prokaryotic community diversity in the Mediterranean Sea using omics, earth observation, and model data C. Marchese et al. https://doi.org/10.1016/j.ecoinf.2026.103747
2270. Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data A. Ahmed et al. https://doi.org/10.3390/rs13040554
2271. MODWT-ANN hybrid models for daily precipitation estimates with time-delayed entries in Amazon region E. Gomes et al. https://doi.org/10.1007/s10661-022-09939-0
2272. Deep Learning Estimation of Daily Ground‐Level NO2 Concentrations From Remote Sensing Data M. Ghahremanloo et al. https://doi.org/10.1029/2021JD034925
2273. GAT-EGRU: A Deep Learning Prediction Model for PM2.5 Coupled with Empirical Modal Decomposition Algorithm G. Yang et al. https://doi.org/10.1007/s11518-023-5562-z
2274. Evaluation of ALOS-2/PALSAR-2 L-Band SAR Polarimetric Parameters for Water-Level Estimation in Irrigated Rice Paddy Fields D. Novresiandi et al. https://doi.org/10.3390/rs18091313
2275. Synthesized CaO-Based Nanocatalysts for Sustainable Biodiesel Production: Artificial Intelligence (AI) Optimization of a Green Nanotechnological Strategy toward Reactor Design M. BenSlimene & T. Saleh https://doi.org/10.1021/acssuschemeng.5c12234
2276. Sensitivity and optimization analysis of thermal-hydraulic performance of a metal foam coated airfoil tube crossflow heat exchanger Z. Haokun et al. https://doi.org/10.1016/j.applthermaleng.2025.127140
2277. Prediction model of PTO shaft fatigue damage considering sandy loam and loam in rotary-tillage operation M. Jang et al. https://doi.org/10.4081/jae.2025.1610
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2740. Assessing safety at work using an adaptive neuro-fuzzy inference system (ANFIS) approach aided by partial least squares structural equation modeling (PLS-SEM) E. Çakıt et al. https://doi.org/10.1016/j.ergon.2020.102925
2741. Prediction of pasture yield using machine learning-based optical sensing: a systematic review C. Stumpe et al. https://doi.org/10.1007/s11119-023-10079-9
2742. Room-temperature and temperature-dependent QSRR modelling for predicting the nitrate radical reaction rate constants of organic chemicals using ensemble learning methods S. Gupta et al. https://doi.org/10.1080/1062936X.2016.1199592
2743. Prediction of cardiac disease-causing pattern using multimedia extraction in health ontology H. Yoo et al. https://doi.org/10.1007/s11042-020-09052-9
2744. TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms M. Patrick et al. https://doi.org/10.1051/matecconf/20178701006
2745. Monte Carlo Simulations as a Decision Support to Interpret δ15N Values of Nitrate in Groundwater L. Wild et al. https://doi.org/10.1111/gwat.12936
2746. A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8 E. dos Santos et al. https://doi.org/10.1016/j.compag.2022.106753
2747. Prediction of heat of hydration of cementitious systems using Gaussian process regression enables mass concrete thermal modeling L. Al-Hasani et al. https://doi.org/10.1617/s11527-023-02134-8
2748. The Tibetan Plateau’s Looming Trade-Off Attribution and Future Trajectories of Vegetation Growth Versus Water Yield R. Kong et al. https://doi.org/10.3390/f17020181
2749. Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression Z. Zhang et al. https://doi.org/10.1016/j.apenergy.2019.04.047
2750. Machine Learning Approach to Predict the Surface Charge Density of Monodispersed Particles in Gas–Solid Fluidized Beds J. Lu et al. https://doi.org/10.1021/acsomega.2c00299
2751. Numerical and Experimental Study on the Heat Dissipation Performance of a Novel System C. Yu et al. https://doi.org/10.3390/en13010106
2752. Bidirectional long short-term memory attention neural network to estimate neural mass model parameters H. Zhang et al. https://doi.org/10.1016/j.chaos.2025.116051
2753. Forest optimal rotation and valuation under different stochastic prices Z. Yu et al. https://doi.org/10.1007/s10342-025-01847-5
2754. Hemispheric lateralization of language processing: insights from network-based symptom mapping and patient subgroups Z. Dai et al. https://doi.org/10.1093/cercor/bhad437
2755. Ensemble machine learning framework for predicting and optimizing electromagnetic shielding of Al 6061 hybrid metal matrix composites C. Himagireesh et al. https://doi.org/10.1088/2631-8695/ae6050
2756. Modeling the neuro-mechanics of human balance when recovering from a fall: a continuous-time approach A. Cerda-Lugo et al. https://doi.org/10.1186/s12938-020-00811-1
2757. Hydromorphodynamics modeling of dredging and dumping activities in Mirim lagoon, RS, Brazil A. Bendô et al. https://doi.org/10.1016/j.oceaneng.2023.116219
2758. Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity A. Masrur Ahmed et al. https://doi.org/10.1016/j.jhydrol.2021.126350
2759. Soil water content prediction across seasons using random forest based on precipitation-related data P. Chen et al. https://doi.org/10.1016/j.compag.2024.109802
2760. Future precipitation patterns: investigating the IDF curve shifts under CMIP6 pathways M. Khan et al. https://doi.org/10.2166/hydro.2025.092
2761. Coupling linear spectral unmixing and RUSLE2 to model soil erosion in the Boubo coastal watershed, Côte d'Ivoire L. Coulibaly et al. https://doi.org/10.1016/j.ecolind.2021.108092
2762. Predictive skill of extended range forecast of 2020–21 winter precipitation over North India M. Thayyil Mandodi & D. Pattanaik https://doi.org/10.1007/s00703-023-00965-2
2763. A radiative cooling enhanced liquid desiccant-based atmospheric water harvesting device F. Xiao et al. https://doi.org/10.1016/j.energy.2026.140730
2764. An updated version of the SZ-plugin: From space to space–time data-driven modeling in QGIS G. Titti et al. https://doi.org/10.1016/j.jag.2025.104679
2765. Coupling SWAT and LSTM models for enhanced daily phosphorus concentration forecasting in data-scarce watersheds X. Xi et al. https://doi.org/10.1016/j.jece.2026.121051
2766. Foreign arrivals nowcasting in Italy with Google Trends data F. Antolini & L. Grassini https://doi.org/10.1007/s11135-018-0748-z
2767. CECF-Net: Imputation of missing values in carbon flux time series via context enhancement and cross-scale fusion G. Wang et al. https://doi.org/10.1016/j.asoc.2026.115438
2768. Influent Forecasting for Wastewater Treatment Plants in North America G. Boyd et al. https://doi.org/10.3390/su11061764
2769. Crop Photosynthetic Performance Monitoring Based on a Combined System of Measured and Modelled Chloroplast Electron Transport Rate in Greenhouse Tomato W. Yu et al. https://doi.org/10.3389/fpls.2020.01038
2770. Evaluation of the CALIPSO Lidar-observed particulate backscattering coefficient on different spatiotemporal matchup scales M. Sun et al. https://doi.org/10.3389/fmars.2023.1181268
2771. Compressive strength detection of tunnel lining using hyperspectral images and machine learning H. Huang et al. https://doi.org/10.1016/j.tust.2024.105979
2772. Study of the distribution of lead (Pb) on mangrove roots (Rhizophora mucronata) and the utilization of mangrove roots as solid fuel Y. Kurniati et al. https://doi.org/10.1088/1755-1315/969/1/012007
2773. Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting V. Sewdien et al. https://doi.org/10.1016/j.renene.2020.07.117
2774. Interlaboratory comparison of femur surface reconstruction from CT data compared to reference optical 3D scan E. Soodmand et al. https://doi.org/10.1186/s12938-018-0461-0
2775. Hybrid machine learning model for prediction of vertical deflection of composite bridges H. Ha et al. https://doi.org/10.1680/jbren.23.00007
2776. Assessment of a Fine-Tuned Vision-Language-Action Model for Robotic Feature-Following Inspection M. Krüger et al. https://doi.org/10.1007/s11063-026-11860-3
2777. HoloIntelligent: A Deep Learning Framework for Comparative Analysis of Holographic and Bright‐Field Imaging in Head and Neck Carcinoma Classification A. Nazir et al. https://doi.org/10.1111/coin.70280
2778. Machine learning-driven prediction of specific capacitance and specific energy in biochar-based supercapacitors X. Liu et al. https://doi.org/10.1016/j.jpowsour.2026.240247
2779. Time-Series Growth Prediction Model Based on U-Net and Machine Learning in Arabidopsis S. Chang et al. https://doi.org/10.3389/fpls.2021.721512
2780. New model averaging approach in predicting mortality rate of intensive care unit patients S. Mohd Padzil et al. https://doi.org/10.1088/1742-6596/1366/1/012123
2781. Forecasting Bitcoin Prices Using Deep Learning for Consumer-Centric Industrial Applications P. Roy et al. https://doi.org/10.1109/TCE.2023.3321653
2782. Thermal improvement of urban squares under spatial and functional constraints C. Wang et al. https://doi.org/10.1016/j.buildenv.2026.115053
2783. Research of low-cost air quality monitoring models with different machine learning algorithms G. Wang et al. https://doi.org/10.5194/amt-17-181-2024
2784. A comparative performance assessment of deep learning and shallow regression for bivariate indoor temperature forecasting M. Ennejjar et al. https://doi.org/10.1088/2631-8695/ae2c43
2785. 基于注意力状态空间模型与多频特征增强的全色锐化方法 李. Li Zhiqian et al. https://doi.org/10.3788/AOS251395
2786. Predicting environmental pollutants in the apartment public space: Evaluating the impact of spatial enclosure and monitoring locations Y. Lv et al. https://doi.org/10.1016/j.uclim.2024.102277
2787. Performance assessment of a predictive microbiology framework for Listeria monocytogenes growth in dry-cured fish F. Tomasello et al. https://doi.org/10.1016/j.foodcont.2026.111967
2788. CCR: Facial Image Editing with Continuity, Consistency and Reversibility N. Yang et al. https://doi.org/10.1007/s11263-023-01938-z
2789. Extreme Atlantic Hurricane Probability of Occurrence Through the Metastatistical Extreme Value Distribution S. Hosseini et al. https://doi.org/10.1029/2019GL086138
2790. Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model A. Yaseen et al. https://doi.org/10.1007/s00477-022-02179-1
2791. 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
2792. Experimental optimization and thermodynamic performance analysis of a solar-driven vacuum desalination system using RSM–BBD and ANFIS W. Singmai et al. https://doi.org/10.1016/j.applthermaleng.2026.131337
2793. Exploitation of a New Short-Term Multimodel Photovoltaic Power Forecasting Method in the Very Short-Term Horizon to Derive a Multi-Time Scale Forecasting System E. Collino & D. Ronzio https://doi.org/10.3390/en14030789
2794. 2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV M. Xiao et al. https://doi.org/10.1109/TCBB.2021.3049617
2795. Low-dose CT image denoising using residual convolutional network with fractional TV loss M. Chen et al. https://doi.org/10.1016/j.neucom.2020.10.004
2796. Forecasting PM10 and PM2.5 in the Aburrá Valley (Medellín, Colombia) via EnKF based data assimilation S. Lopez-Restrepo et al. https://doi.org/10.1016/j.atmosenv.2020.117507
2797. Nonintrusive Load Monitoring Using Recurrent Neural Networks with Occupants Location Information in Residential Buildings M. Lee & H. Moon https://doi.org/10.3390/en16093688
2798. Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields M. Hosseini & H. McNairn https://doi.org/10.1016/j.jag.2017.01.006
2799. Combining Large Language Models with Satellite Embedding to Comprehensively Evaluate the Tibetan Plateau’s Ecological Quality Y. Yang et al. https://doi.org/10.3390/rs18040643
2800. Generation of tissues outside the field of view (FOV) of radiation therapy simulation imaging based on machine learning and patient body outline (PBO) S. Kim et al. https://doi.org/10.1186/s13014-023-02384-4
2801. A three-variables cokriging method to estimate bare-surface soil moisture using multi-temporal, VV-polarization synthetic-aperture radar data L. Zeng et al. https://doi.org/10.1007/s10040-020-02177-z
2802. Development of flow model for partly and fully saturated soils using water balance and water table depth fluctuation analysis Y. Zhu et al. https://doi.org/10.1016/j.jhydrol.2023.129259
2803. UdN: A Bio-Inspired Data Network for Significant Pattern Extraction in Cognitive Internet of Things V. Jha & P. Tripathi https://doi.org/10.1007/s43069-025-00492-3
2804. Comparative assessment of AI-based and classical DSAS approaches in multi-temporal shoreline prediction: A case study of Ras El-Bar coast, Egypt H. El-Asmar & M. Felfla https://doi.org/10.1016/j.isprsjprs.2026.01.040
2805. An Analysis of Disability Groupings and Transition Planning Experiences E. Davenport et al. https://doi.org/10.1177/00224669211024593
2806. Assessing the effectiveness of ensembles in Speech Emotion Recognition: Performance analysis under challenging scenarios J. López-Gil & N. Garay-Vitoria https://doi.org/10.1016/j.eswa.2023.122905
2807. Optimized machine learning models for predicting the tensile strength of high-performance concrete D. Kumar et al. https://doi.org/10.1080/24705314.2025.2471682
2808. Comparison of Five Different Lactation Curve Models to Estimate Milk Yield of Friesian Holstein Cows at BBPTU HPT Baturraden E. Nanda et al. https://doi.org/10.1088/1755-1315/334/1/012004
2809. In-pile heat conduction model of the dispersion nuclear fuel plate with particle agglomeration. Part II: Predicting the effective thermal conductivity under the in-pile thermal transfer pattern based on a deep neural network Y. Dong et al. https://doi.org/10.1016/j.jnucmat.2025.155692
2810. A Comparative Assessment of Conventional and Artificial Neural Networks Methods for Electricity Outage Forecasting A. Onaolapo et al. https://doi.org/10.3390/en15020511
2811. Comparative Study on the Different Downscaling Methods for GPM Products in Complex Terrain Areas J. Liu et al. https://doi.org/10.3390/earth6040129
2812. PPDIST, global 0.1° daily and 3-hourly precipitation probability distribution climatologies for 1979–2018 H. Beck et al. https://doi.org/10.1038/s41597-020-00631-x
2813. A network-based discrete choice model for decision-based design Z. Sha et al. https://doi.org/10.1017/dsj.2023.4
2814. Zone-specific prediction of specific charge in tunnel blasting with machine learning J. Kwon et al. https://doi.org/10.1016/j.kscej.2025.100478
2815. 基于自先验信息和TV约束的正交直线扫描CL图像重建 朱. ZHU Guorong et al. https://doi.org/10.3788/gzxb20245309.0910001
2816. Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. https://doi.org/10.1029/2018JA025455
2817. Towards the new generation of courtyard buildings as a healthy living concept for post-pandemic era P. Saadatjoo et al. https://doi.org/10.1016/j.scs.2023.104726
2818. EPOCH: enhanced procedure for operational change detection using historical invariant features and PCA guided multivariate statistical technique I. Misra et al. https://doi.org/10.1080/10106049.2021.2017018
2819. Cross-Corpus Readability Compatibility Assessment for English Texts Z. Li et al. https://doi.org/10.1109/ACCESS.2023.3315834
2820. Analysis of kinetic energy distribution of big gun sprinkler applied to continuous moving hose-drawn traveler M. Ge et al. https://doi.org/10.1016/j.agwat.2017.12.009
2821. Geostatistical Analysis and Delineation of Groundwater Potential Zones for Their Implications in Irrigated Agriculture of Punjab Pakistan A. Shakoor et al. https://doi.org/10.3390/world6030115
2822. A Novel Keep Zero as Zero Polar Correlation Technique for Mobile Robot Localization using LIDAR R. SIDHARTHAN et al. https://doi.org/10.4316/AECE.2016.04003
2823. Using deep learning approaches for coloring silicone maxillofacial prostheses: A comparison of two approaches M. Kurt et al. https://doi.org/10.4103/jips.jips_149_22
2824. Machine Learning-Based Prediction of Tribological Properties of Epoxy Composite Coating H. Yan et al. https://doi.org/10.3390/polym17030282
2825. Numerical Analysis of the Available Power in an Overtopping Wave Energy Converter Subjected to a Sea State of the Coastal Region of Tramandaí, Brazil L. Cisco et al. https://doi.org/10.3390/fluids7110359
2826. A Robust and Lightweight Loop Closure Detection Approach for Challenging Environments Y. Shi et al. https://doi.org/10.3390/drones8070322
2827. Ensemble Deep Learning for Global Solar Irradiance Forecasting in Egypt: A Multi-Model Approach H. Aboelkhair et al. https://doi.org/10.1007/s41748-026-01083-w
2828. Machine learning algorithm for the shear strength prediction of basalt-driven lateritic soil A. Niyogi et al. https://doi.org/10.1007/s12145-023-00950-8
2829. Design of phosphoryl containing podands with Li+/Na+ selectivity using machine learning V. Solov’ev et al. https://doi.org/10.1080/1062936X.2021.1929462
2830. Long-Term Electrical Load Forecasting in Rwanda Based on Support Vector Machine Enhanced with Q-SVM Optimization Kernel Function E. Uwimana et al. https://doi.org/10.4236/jpee.2023.118003
2831. Turbidity factor coefficient on the estimation of hourly solar radiation in Depok City, Indonesia M. Budiyanto et al. https://doi.org/10.1016/j.egyr.2019.11.152
2832. Modeling the Impact of Water Hyacinth on Evapotranspiration in the Chongón Reservoir Using Remote Sensing Techniques: Implications for Aquatic Ecology and Invasive Species Management C. Cárdenas-Cuadrado et al. https://doi.org/10.3390/hydrology12040080
2833. Lamb wave damage severity estimation using ensemble-based machine learning method with separate model network S. Rizvi & M. Abbas https://doi.org/10.1088/1361-665X/ac2e1a
2834. Transfer learning-based prediction of high-temperature fatigue life in Fe-based structural alloys with limited data Q. Wang et al. https://doi.org/10.20517/jmi.2026.06
2835. Using GPT-4o as a factor extractor for Brazilian consumer law judgments* L. Pereira et al. https://doi.org/10.1007/s10506-025-09466-6
2836. AutoML-Based Prediction of Process Outcomes in Expanded Polypropylene Autoclave Foaming E. Erkan https://doi.org/10.3390/machines14070797
2837. The dynamics of burning activity on degraded peatland in two villages in Central Kalimantan, Indonesia S. Robb et al. https://doi.org/10.1071/WF22067
2838. Predicting Soil Properties Using Topographic and Climatic Variables İ. YENER et al. https://doi.org/10.17475/kastorman.1049347
2839. Co-Registration Methods and Error Analysis for Four Decades (1979–2018) of Glacier Elevation Changes in the Southern Patagonian Icefield P. Vacaflor et al. https://doi.org/10.3390/rs14040820
2840. How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market T. Potrawa & A. Tetereva https://doi.org/10.1016/j.jbusres.2022.01.027
2841. Prediction of Partition Coefficient of Carbamates using GA-MLR and GAANN Methods, and Comparison with Experimental Data S. Moosavi et al. https://doi.org/10.2174/1570178620666221205095036
2842. Development of Novel Oral Formulations of Disulfide Antioxidants Based on Porous Silica for Controlled Release of the Drugs E. Dolinina & E. Parfenyuk https://doi.org/10.3390/ma14040963
2843. A Multiscale Photovoltaic Power Forecasting Framework Using VMD and GRUFormer-Based Hybrid Deep Learning L. Xu et al. https://doi.org/10.1007/s40866-025-00299-5
2844. Forecasting Inflation From Disaggregated Data W. Martínez‐Rivera et al. https://doi.org/10.1002/asmb.70023
2845. Digital twins for monitoring and predicting the cooking of food products: A case study for a French crêpe I. Cabeza-Gil et al. https://doi.org/10.1016/j.jfoodeng.2023.111697
2846. Deep-learning-based cross-modality translation from Stokes image to bright-field contrast S. Wei et al. https://doi.org/10.1117/1.JBO.28.10.102911
2847. A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels X. Geng et al. https://doi.org/10.1016/j.jmst.2021.07.038
2848. All optical third order tunable ordinary differential equation solutions based on double Sagnac rings coupled MZI on silicon waveguide chips M. Xu et al. https://doi.org/10.1117/1.JNP.17.046004
2849. Extreme pressure coefficients: modelling a hydraulic jump using deep-learning based methods S. Mousavi et al. https://doi.org/10.1007/s12046-024-02515-x
2850. A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm J. Brombacher et al. https://doi.org/10.1016/j.agwat.2022.107602
2851. A new nonparametric copula framework for the joint analysis of river water temperature and low flow characteristics for aquatic habitat risk assessment S. Latif et al. https://doi.org/10.1016/j.jhydrol.2024.131079
2852. Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting M. Ali et al. https://doi.org/10.1016/j.compag.2018.07.013
2853. GIS-based spatial modeling of snow avalanches using four novel ensemble models P. Yariyan et al. https://doi.org/10.1016/j.scitotenv.2020.141008
2854. Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients I. Gambo et al. https://doi.org/10.4018/IJHISI.289461
2855. Is the ISO 8996:2021 heart rate method accurate for predicting metabolic rate? An experimental validation based on Chinese young adults S. Gao et al. https://doi.org/10.1016/j.buildenv.2025.113235
2856. MOBİLYA SEKTÖRÜNDE SATIŞ TAHMİNİ: YİNELEMELİ SİNİR AĞI MODELLERİNİN KARŞILAŞTIRMALI ANALİZİ O. Şahin & B. Çubukçu https://doi.org/10.21923/jesd.1433624
2857. Modeling and Prediction of Near-Earth Plasma Sheet Parameters Using the Rice Convection Model and the Recurrent Neural Network S. Priyadarshi et al. https://doi.org/10.3389/fspas.2021.691000
2858. Using Analog Ensembles with Alternative Metrics for Hindcasting with Multistations C. Balsa et al. https://doi.org/10.55969/paradigmplus.v1n2a1
2859. Clinical validation of a deep-learning-based bone age software in healthy Korean children H. Nam et al. https://doi.org/10.6065/apem.2346050.025
2860. Prediction of Body Weight of a Person Lying on a Smart Mat in Nonrestraint and Unconsciousness Conditions T. Kim & Y. Hong https://doi.org/10.3390/s20123485
2861. Application of deep learning, machine learning and multi-criteria decision analysis for ecotourism potentiality assessment: a case study of the Sundarban Biosphere Reserve, India A. Baidya et al. https://doi.org/10.1007/s44163-025-00496-2
2862. Forecasting duration characteristics of near fault pulse-like ground motions using machine learning algorithms F. Wani et al. https://doi.org/10.1007/s00477-024-02729-9
2863. Interpretable machine learning framework for performance prediction and optimization of capacitive deionization Y. Wu et al. https://doi.org/10.1016/j.desal.2026.120468
2864. Power PV Forecasting using Machine Learning Algorithms Based on Weather Data in Semi-Arid Climate M. Boujoudar et al. https://doi.org/10.1051/bioconf/202410901024
2865. Quantifying pCO2 in biological ocean acidification experiments: A comparison of four methods S. Watson et al. https://doi.org/10.1371/journal.pone.0185469
2866. An Analysis of Biform Game Strategies for Supply Planning in a Full Distribution Network: Case of a Bottling Company M. Salma et al. https://doi.org/10.2139/ssrn.3186334
2867. Pulsed coaxial dielectric barrier discharge plasma loop-tubing system for inactivation of Escherichia coli K12 in glucose solution: Microbial and physicochemical kinetics and machine learning - Based predictive modeling P. Pichayamongkol et al. https://doi.org/10.1016/j.jfoodeng.2026.113154
2868. Modelling ionospheric phenomena and assessing the performance of IRI-Plas2017 during different phases of solar cycle 24 Y. Kayode et al. https://doi.org/10.15407/kfnt2025.02.047
2869. Switch from The Traditional RPLC Method to the Green RPLC Methods in The Determination of The Ionization Constant (pKa) of Favipiravir Y. Daldal https://doi.org/10.1002/slct.202402900
2870. Modelling the long‐term impact of harvest weed seed control for species like Bromus diandrus and Hordeum spp. that shed a portion of seed prior to harvest C. Borger et al. https://doi.org/10.1111/wre.12489
2871. Growth Effects as a Function of pH and Temperature of Salmonella enterica serovar Choleraesuis in In Vitro Tests and Chicken Meat: Prediction and Modeling M. Peruzzolo et al. https://doi.org/10.1007/s12088-023-01159-5
2872. Hydrodynamic Performance Assessment of Emerged, Alternatively Submerged and Submerged Semicircular Breakwater: An Experimental and Computational Study F. Al-Towayti et al. https://doi.org/10.3390/jmse12071105
2873. Development and validation of a framework for indoor thermal comfort in naturally ventilated university classrooms E. Kusi https://doi.org/10.1108/IJBPA-04-2025-0072
2874. EXPLORING THE ACCURACY AND RELIABILITY OF MACHINE LEARNING APPROACHES FOR STUDENT PERFORMANCE B. OWAIDAT https://doi.org/10.35784/acs-2024-29
2875. Improving 2D displacement accuracy in bridge vibration measurement with color space fusion and super resolution Q. He & S. Wang https://doi.org/10.1016/j.aei.2025.103248
2876. A k-d tree-based algorithm to parallelize Kriging interpolation of big spatial data H. Wei et al. https://doi.org/10.1080/15481603.2014.1002379
2877. Modeling the Photovoltaic Power Generation in Poland in the Light of PEP2040: An Application of Multiple Regression A. Rybak et al. https://doi.org/10.3390/en16227476
2878. Total Biomass in the Neotropical Savanna Domain: Stock Estimation and Modeling with Edaphic Variables K. Oliveira et al. https://doi.org/10.3390/plants15152261
2879. CNN-RNN architecture to calculate BPM from underwater ECG samples T. Beckingham et al. https://doi.org/10.1007/s10489-023-04522-7
2880. Measurements of wave damping by a grease ice slick in Svalbard using off-the-shelf sensors and open-source electronics J. RABAULT et al. https://doi.org/10.1017/jog.2017.1
2881. A Spectral Unmixing Method by Maximum Margin Criterion and Derivative Weights to Address Spectral Variability in Hyperspectral Imagery Y. Shao & J. Lan https://doi.org/10.3390/rs11091045
2882. A Robust and Efficient Loop Closure Detection Approach for Hybrid Ground/Aerial Vehicles Y. Wang et al. https://doi.org/10.3390/drones7020135
2883. A reaction-pathway-guided development of a kinetic mechanism for NO formation during N2O thermal decomposition S. Kim et al. https://doi.org/10.1016/j.csite.2026.108294
2884. Exploring the metabolic burden of surfactin biosynthesis and the metabolic costs of srfA operon expression in Bacillus subtilis E. Perino et al. https://doi.org/10.1186/s12934-026-03047-1
2885. Prediction of electrical energy consumption based on machine learning technique R. Banik et al. https://doi.org/10.1007/s00202-020-01126-z
2886. Mastering adverse weather: a two-stage approach for robust semantic segmentation in autonomous driving P. Liu et al. https://doi.org/10.1007/s00371-024-03663-1
2887. Phytoplankton Photophysiology Utilities: A Python Toolbox for the Standardization of Processing Active Chlorophyll-a Fluorescence Data T. Ryan-Keogh & C. Robinson https://doi.org/10.3389/fmars.2021.525414
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2889. A time-domain method for load identification using moving weighted least square technique Y. Sun et al. https://doi.org/10.1016/j.compstruc.2020.106254
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3040. Assessment of IEC Normal Turbulence Model and Modelling of the Wind Turbulence Intensity for Small Wind Turbine Design in Tropical Area: Case of the Coastal Region of Benin H. Donnou et al. https://doi.org/10.14710/ijred.9.2.263-286
3041. Development and Evaluation of Predictive Machine Learning Models for Crude Oil Supply Chain Logistics in the USA M. Prah et al. https://doi.org/10.4236/ti.2025.162005
3042. Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces S. Ringdahl et al. https://doi.org/10.3390/coatings11010033
3043. Quantitative assessment of spatiotemporal variability in air quality within the Amman-Zarqa urban Area, Jordan A. Al-Rawabdeh et al. https://doi.org/10.1016/j.ejrs.2025.06.002
3044. High-accuracy machine learning approach for predicting J–V characteristics of perovskite solar cells under variable irradiance A. Toprak https://doi.org/10.1038/s41598-025-25156-4
3045. Artificial intelligence algorithms to predict Italian real estate market prices L. Rampini & F. Re Cecconi https://doi.org/10.1108/JPIF-08-2021-0073
3046. How Connected Cars Could Capture Cloud Dynamics for Solar Forecasting—Evidence from Two Simulation Scenarios T. Veihelmann et al. https://doi.org/10.1002/solr.202400470
3047. Healthy area of the penultimate leaf (F2) as a predictor of barley grain yield under foliar disease pressure in semi-arid environments H. Wazziki & B. Yousfi https://doi.org/10.1007/s42976-026-00812-1
3048. Optimizing WRF Configurations for Improved Precipitation Forecasting in West Africa: Sensitivity to Cumulus and PBL Schemes in a Senegal Case Study A. Coly et al. https://doi.org/10.3390/cli13090181
3049. The Dynamic Behaviour of a Binary Adsorbent in a Fixed Bed Column for the Removal of Pb2+ Ions from Contaminated Water Bodies C. Harripersadth & P. Musonge https://doi.org/10.3390/su14137662
3050. Supervised learning-based artificial senses for non-destructive fish quality classification R. Saeed et al. https://doi.org/10.1016/j.bios.2024.116770
3051. Multi-Pattern Scanning Mamba for Cloud Removal X. Xin et al. https://doi.org/10.3390/rs17213593
3052. A 3D vehicle-bridge interaction framework integrating energy-conserving Hamilton’s principle and stabilized Newmark-β method X. Yin et al. https://doi.org/10.1016/j.advengsoft.2025.104022
3053. Development of an AI image Recognition–based lateral flow immunochromatographic test strip for higenamine detection R. Zhang et al. https://doi.org/10.1016/j.ab.2026.116069
3054. New approach for regional water-energy-food nexus security assessment: Enhancing the random forest model with the aquila optimizer algorithm W. Ru et al. https://doi.org/10.1016/j.agwat.2024.108946
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3056. AI-Driven Stacking Ensemble for Predicting Total Power Output of Wave Energy Converters: A Data-Driven Approach to Renewable Energy Processes T. Muthamizhan et al. https://doi.org/10.3390/pr13040961
3057. Evaluation of pre-dilution combined with optical/fluorescent platelet counting for correcting pseudothrombocytopenia L. Xiong et al. https://doi.org/10.3389/fmed.2026.1855339
3058. Clustering-based spatial transfer learning for short-term ozone forecasting T. Deng et al. https://doi.org/10.1016/j.hazadv.2022.100168
3059. Dynamic detection of water surface area of Ebinur Lake using multi-source satellite data (Landsat and Sentinel-1A) and its responses to changing environment J. Wang et al. https://doi.org/10.1016/j.catena.2019.02.020
3060. CFD simulation advances in urban aerodynamics: Accuracy, validation, and high-rise building applications A. Idrissi et al. https://doi.org/10.1016/j.rineng.2025.105148
3061. DINI: data imputation using neural inversion for edge applications S. Tuli & N. Jha https://doi.org/10.1038/s41598-022-24369-1
3062. Statistical Evaluation and Synthetic Generation of Ultra-Wideband Distance Measurements for Indoor Positioning Systems P. Schwarzbach et al. https://doi.org/10.1109/JSEN.2021.3121627
3063. Relative Radiometric Normalization for the PlanetScope Nanosatellite Constellation Based on Sentinel-2 Images R. Dias et al. https://doi.org/10.3390/rs16214047
3064. Deep learning-driven statistical bias correction for climate risk assessment of projected temperature extremes in the Nordic region P. Loganathan et al. https://doi.org/10.1038/s44304-026-00207-6
3065. Accurate solar radiation site adaptation: Harnessing satellite data and in situ measurements J. Ruiz-Munoz & L. Hoyos-Gómez https://doi.org/10.1063/5.0226782
3066. Estimation of Soil Salinization by Machine Learning Algorithms in Different Arid Regions of Northwest China X. Jiang et al. https://doi.org/10.3390/rs14020347
3067. Uncertainty of Rainfall Products: Impact on Modelling Household Nutrition from Rain-Fed Agriculture in Southern Africa R. Luetkemeier et al. https://doi.org/10.3390/w10040499
3068. AI-Based Model Order Reduction Techniques: A Survey S. Mallick & M. Mittal https://doi.org/10.1007/s11831-024-10207-2
3069. Remote sensing vegetation Indices-Driven models for sugarcane evapotranspiration estimation in the semiarid Ethiopian Rift Valley G. W. Woldemariam et al. https://doi.org/10.1016/j.isprsjprs.2024.07.004
3070. A hybrid PCA-LSTM predictive approach for enhancing multi-step indoor temperature prediction towards energy-efficient HVAC control M. Ennejjar et al. https://doi.org/10.1088/1402-4896/adcc67
3071. Simulation Analysis of Magnetic Gradient Full-Tensor Measurement System L. Xu et al. https://doi.org/10.1155/2021/6688364
3072. Forecasting nonperforming loans using machine learning M. Abdullah et al. https://doi.org/10.1002/for.2977
3073. Machine learning-based prediction of proton-induced reaction cross-sections for medically relevant bromine radioisotopes P. Khalilzadeh et al. https://doi.org/10.1016/j.rinp.2025.108357
3074. Characterization of a Spiking Convolutional Processor for FPGA D. Curra-Sosa et al. https://doi.org/10.3390/s26061801
3075. Source Apportionment of Heavy Metal Contamination in Urban-Agricultural-Aquacultural Soils near the Bohai Bay Coast, Using Land-Use Classification and Google Satellite Tracing L. Zeng et al. https://doi.org/10.3390/rs14102436
3076. A Hybrid Approach to Evaluate Business Efficiency, Profitability, and Market Valuation: An Empirical Validation Y. Liao et al. https://doi.org/10.12688/f1000research.178626.1
3077. Inter-moieties reactivity correlations: an approach to estimate the reactivity endpoints of major atmospheric reactants towards organic chemicals S. Gupta et al. https://doi.org/10.1039/C6RA06805G
3078. Harnessing artificial neural networks for coastal erosion prediction: A systematic review A. Khan et al. https://doi.org/10.1016/j.marpol.2025.106704
3079. Reshaping Industrial Maintenance with Machine Learning: Fouling Control Using Optimized Gaussian Process Regression F. Negri et al. https://doi.org/10.1021/acs.iecr.4c04550
3080. Impact of Domain Nesting on High-Resolution Forecasts of Solar Conditions in Central and Eastern Europe M. Mierzwiak & K. Kroszczyński https://doi.org/10.3390/en16134969
3081. Accelerated design for elastocaloric performance in NiTi-based alloys through machine learning X. Tian et al. https://doi.org/10.1063/5.0068290
3082. Análise da Evolução Temporal de Garimpo Ilegal Sobre a Terra Indígena Kayapó M. Aviz et al. https://doi.org/10.26848/rbgf.v18.3.p2069-2086
3083. An integral and multidimensional review on multi-layer perceptron as an emerging tool in the field of water treatment and desalination processes A. Reza et al. https://doi.org/10.1016/j.desal.2024.117849
3084. TG-PGAT: An AIS Data-Driven Dynamic Spatiotemporal Prediction Model for Ship Traffic Flow in the Port J. Ma et al. https://doi.org/10.3390/jmse12101875
3085. Spectral feature selection algorithm based on improved zebra optimization algorithm for milk powder fat content detection W. Zhang et al. https://doi.org/10.1016/j.jfca.2025.108234
3086. Enhancing Safety Risk Management with Quantitative Measures B. Claros et al. https://doi.org/10.3141/2603-01
3087. Integrating molecular simulations with multilayer perceptron neural networks to predict the CH4/H2 adsorption and separation of MTV-MOFs Y. Xie et al. https://doi.org/10.1016/j.ijhydene.2025.04.407
3088. Analog Design and Machine Learning: A Review K. Liakos & F. Plessas https://doi.org/10.3390/electronics14173541
3089. On the measurement of enhanced energy storage in composite concentric helical pipes with RSA-DNN verification L. Chang et al. https://doi.org/10.1016/j.measurement.2025.119154
3090. Bridging Experimentation and Computation: OMSP for Advanced Acrylate Characterization and Digital Photoresin Design in Vat Photopolymerization L. Okoruwa et al. https://doi.org/10.3390/polym17020203
3091. An Improved VMD–EEMD–LSTM Time Series Hybrid Prediction Model for Sea Surface Height Derived from Satellite Altimetry Data H. Chen et al. https://doi.org/10.3390/jmse11122386
3092. Data-driven model assessment: A comparative study for ship response determination A. La Ferlita et al. https://doi.org/10.1016/j.oceaneng.2024.119711
3093. Prediction Uncertainty of Density Functional Approximations for Properties of Crystals with Cubic Symmetry P. Pernot et al. https://doi.org/10.1021/jp509980w
3094. PD-count: Prompt-driven zero-shot object counting with dynamic frequency transformation K. Liu et al. https://doi.org/10.1016/j.eswa.2026.131295
3095. Missing data treatment for locally weighted partial least square‐based modelling: A comparative study W. Yeo et al. https://doi.org/10.1002/apj.2422
3096. Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects K. Jusseaume & I. Valova https://doi.org/10.3390/s22218112
3097. Modeling cover management factor of RUSLE using very high-resolution satellite imagery in a semiarid watershed C. Vatandaşlar & M. Yavuz https://doi.org/10.1007/s12665-017-6388-0
3098. How good are different machine and deep learning models in forecasting the future price of metals? Full sample versus sub-sample A. Varshini et al. https://doi.org/10.1016/j.resourpol.2024.105040
3099. Comparative evaluation of the predictability of neural network methods on the flammability characteristics of extruded polystyrene from microscale combustion calorimetry R. Mensah et al. https://doi.org/10.1007/s10973-019-08335-0
3100. Data-driven prediction of building energy consumption using an adaptive multi-model fusion approach P. Lin et al. https://doi.org/10.1016/j.asoc.2022.109616
3101. A Contactless Measuring Speed System of Belt Conveyor Based on Optical Flow Techniques Y. Gao et al. https://doi.org/10.1109/ACCESS.2019.2937317
3102. Prediction of Cooling Load of Tropical Buildings with Machine Learning G. Bekdaş et al. https://doi.org/10.3390/su15119061
3103. Integrating Thermal Infrared Imaging and Weather Data for Short-Term Prediction of Building Envelope Thermal Appearance N. Golosov & G. Cervone https://doi.org/10.3390/rs16213981
3104. Dual-Domain Temporal–Spatial Denoising Approach for Autism Spectrum Disorder EEG Signals Based on Stationary Wavelet Transform and SPHARA C. Syiva et al. https://doi.org/10.62411/jcta.15875
3105. Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms S. Ghimire et al. https://doi.org/10.1016/j.apenergy.2019.113541
3106. Quantification of river total phosphorus using integrative artificial intelligence models S. Kim et al. https://doi.org/10.1016/j.ecolind.2023.110437
3107. Skill of CMIP5 models in simulating rainfall over Malawi B. Libanda & N. Nkolola https://doi.org/10.1007/s40808-019-00611-0
3108. Estimating lake okeechobee’s water volume using NDWI-derived remote sensing and genetic algorithm optimization on Google Earth Engine G. Golmohammadi et al. https://doi.org/10.1007/s43832-025-00255-5
3109. Predicting the Effect of Plasma Treatment on the Fading of Sulphur-Dyed Cotton Fabric Using Bayesian Regulated Neural Network (BRNN) and Gaussian Process Regression (GPR) S. Liu et al. https://doi.org/10.1007/s12221-023-00426-y
3110. Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout N. Mehdiyev et al. https://doi.org/10.1016/j.datak.2024.102402
3111. Analysis of Future Solar Power Potential Using CORDEX-CORE Ensemble in Côte d’Ivoire, West Africa N. Kouadio et al. https://doi.org/10.3390/en19071589
3112. Leveraging remote sensing–enabled machine learning for river water quality prediction in South Florida's hydrological systems M. Berihun et al. https://doi.org/10.1016/j.rsase.2025.101616
3113. Dynamic Production Order Allocation for Distributed Additive Manufacturing I. Sousa Agostino et al. https://doi.org/10.1016/j.ifacol.2020.12.2832
3114. Machine learning to predict refractory corrosion during nuclear waste vitrification N. Smith-Gray et al. https://doi.org/10.1557/s43580-021-00031-2
3115. A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring M. Casal-Guisande et al. https://doi.org/10.3390/math10030520
3116. Integrating Statistical and Machine-Learning Approaches for Salmonella enterica Surveillance in Northwestern Italy: A One Health Data-Driven Framework A. Garcia-Vozmediano et al. https://doi.org/10.3390/microorganisms13122773
3117. Towards robust smart data-driven soil erodibility index prediction under different scenarios A. Shirzadi et al. https://doi.org/10.1080/10106049.2022.2076918
3118. A Faster-Than-Real-Time Framework for Reliability-Oriented Simulation of PV Inverters L. Wang et al. https://doi.org/10.1109/OJPEL.2026.3710206
3119. Optical and mechanical properties of Zr-oxide doped TiO2/SiO2 anti-reflective coatings for PV glass covers D. Zambrano-Mera et al. https://doi.org/10.1016/j.solmat.2022.111784
3120. Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors H. Sanikhani et al. https://doi.org/10.1016/j.compag.2018.07.008
3121. Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation F. Zhao et al. https://doi.org/10.1016/j.eswa.2022.117015
3122. In silico design of novel FAK inhibitors using integrated molecular docking, 3D-QSAR and molecular dynamics simulation studies P. Shirvani & A. Fassihi https://doi.org/10.1080/07391102.2021.1875880
3123. Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning S. Heo et al. https://doi.org/10.1109/TII.2020.3039272
3124. Deep learning model comparison and input variable optimization for enhanced pressure forecasting in water distribution networks M. Kim et al. https://doi.org/10.11001/jksww.2026.40.2.241
3125. Seismically Induced Liquefaction Potential Assessment by Different Artificial Intelligence Procedures D. Kumar et al. https://doi.org/10.1007/s40515-023-00327-w
3126. Rapid prediction of mine tunnel fire smoke movement with machine learning and supercomputing techniques Y. Hong et al. https://doi.org/10.1016/j.firesaf.2021.103492
3127. A novel hybrid image fusion method based on integer lifting wavelet and discrete cosine transformer for visual sensor networks B. Latreche et al. https://doi.org/10.1007/s11042-018-6676-z
3128. Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province W. Yang et al. https://doi.org/10.1186/s12889-023-17218-x
3129. Integrating remote sensing, GIS, and machine learning for lineament analysis and hydrogeological assessment in the Northern Atlasic domain of Tunisia I. Ben Slimene et al. https://doi.org/10.1016/j.jafrearsci.2026.106210
3130. Abundance distributions for tree species in Great Britain: A two‐stage approach to modeling abundance using species distribution modeling and random forest L. Hill et al. https://doi.org/10.1002/ece3.2661
3131. Tensile strength of different types of limestone rocks in north of Iraq D. Mohammed et al. https://doi.org/10.1007/s41062-021-00620-y
3132. Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete D. Dao et al. https://doi.org/10.3390/ma12060983
3133. Handling Missing Values Based on Similarity Classifiers and Fuzzy Entropy Measures F. Karim et al. https://doi.org/10.3390/electronics11233929
3134. Soil Moisture Satellite Data Under Scrutiny: Assessing Accuracy Through Environmental Proxies and Extended Triple Collocation Analysis A. Pataki et al. https://doi.org/10.1007/s41748-025-00605-2
3135. Data-driven study of composition-dependent phase compatibility in NiTi shape memory alloys S. Hossein Zadeh et al. https://doi.org/10.1016/j.matdes.2024.113096
3136. Predicting the distribution of Coilia nasus abundance in the Yangtze River estuary: From interpolation to extrapolation Y. Wang et al. https://doi.org/10.1016/j.ecss.2024.108935
3137. Enhancing monthly extreme water level predictions in a flood-prone river basin using regression-based machine learning M. Islam et al. https://doi.org/10.2166/h2oj.2025.016
3138. Theoretical Recommendations and Validation for the Generation of Realistic Irregular Waves Through the WaveMIMO Methodology M. Paiva et al. https://doi.org/10.3390/pr13051395
3139. Reliability of empirical equations to predict uniaxial compressive strength of rocks using Schmidt hammer D. Mohammed et al. https://doi.org/10.1080/17499518.2019.1658881
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3141. A data-driven geometry-specific surrogate model for forecasting the load–displacement behavior until ductile fracture S. Dey & R. Kiran https://doi.org/10.1007/s10704-025-00839-1
3142. A dropout weight-constrained recurrent neural network model for forecasting the price of major cryptocurrencies and CCi30 index I. Livieris et al. https://doi.org/10.1007/s12530-020-09361-2
3143. WITHDRAWN: Impact of Lag Window Configuration on Next-Day River Water Stage Forecasting Accuracy: Comparative Evaluation of Six Machine Learning and Deep Learning Algorithms M. Islam et al. https://doi.org/10.1016/j.htopen.2026.100006
3144. Comparison of growth curve models for Ongole Grade cattle Y. Adinata et al. https://doi.org/10.1007/s11250-022-03254-z
3145. The right-of-way assignment strategy under mixed traffic: considering drivers’ confidence in CAVs F. Zong et al. https://doi.org/10.1080/21680566.2024.2441460
3146. Combining Content-Based Filtering Methods for Building a Powerful Hybrid Recommender System to Improve Tourism in Drâa-Tafilalet Area K. Fararni et al. https://doi.org/10.3390/technologies14070421
3147. Time Series Prediction Based on Multi-Scale Feature Extraction R. Zhang & Y. Hao https://doi.org/10.3390/math12070973
3148. Investigating catchment predictors of the fraction of young water variability in streamflow in mesoscale Precambrian Shield catchments in Northeastern Ontario, Canada F. Eebo et al. https://doi.org/10.1016/j.jhydrol.2026.136039
3149. Impact of Time Step Size on Different Cumulus Parameterization Schemes in the Numerical Simulation of a Heavy Rainfall Event Over Tamil Nadu, India K. Singh et al. https://doi.org/10.1007/s00024-021-02896-8
3150. A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise F. Weigend et al. https://doi.org/10.1007/s10479-022-04947-2
3151. Effect of heat and moisture transfer on the growth of mould on the inner surface of walls: A case study in Dalian of China Y. Lv et al. https://doi.org/10.1007/s12273-020-0666-6
3152. A robust factor analysis model based on the canonical fundamental skew-t distribution T. Lin et al. https://doi.org/10.1007/s00362-022-01318-8
3153. Simulating field-scale variability and precision management with a 3D hydrologic cropping systems model N. Ward et al. https://doi.org/10.1007/s11119-017-9517-6
3154. Automated Labeling of Movement- Related Cortical Potentials Using Segmented Regression U. Rashid et al. https://doi.org/10.1109/TNSRE.2019.2913880
3155. Efecto del refinamiento de la descripción de la rugosidad en una aproximación 2D para un río de montaña: un caso de estudio J. Cedillo Galarza et al. https://doi.org/10.17163/lgr.n33.2021.08
3156. A Maieutic Exploration of Nudging Strategies for Regional Climate Applications Using the WRF Model T. Spero et al. https://doi.org/10.1175/JAMC-D-17-0360.1
3157. Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering S. Poudel & M. Bikdash https://doi.org/10.26599/BDMA.2022.9020024
3158. A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure C. Chen et al. https://doi.org/10.1016/j.bspc.2021.102433
3159. Artificial intelligence prediction algorithms for refractive error onset and progression in children and adolescents: A systematic review and meta‐analysis A. Sandali et al. https://doi.org/10.1111/aos.70207
3160. Storm Surge Modeling in Large Estuaries: Sensitivity Analyses to Parameters and Physical Processes in the Chesapeake Bay J. Garzon & C. Ferreira https://doi.org/10.3390/jmse4030045
3161. HCLmNet: A unified hybrid continual learning strategy multimodal network for lung cancer survival prediction M. Bappi et al. https://doi.org/10.1371/journal.pone.0316509
3162. Interpretation and diagnosis of fouling progress in membrane bioreactor plants using a periodic pattern recognition method K. Nam et al. https://doi.org/10.1007/s11814-017-0197-8
3163. Reply on “Reply to comment on Important notes on parameter estimation of solar photovoltaic cell”, by Gnetchejo et al. [Energy Conversion and Management, https://doi.org/10.1016/ j.enconman.2019.111870] D. Yousri et al. https://doi.org/10.1016/j.enconman.2019.112234
3164. Trading Off Scalability, Privacy, and Performance in Data Synthesis X. Ling et al. https://doi.org/10.1109/ACCESS.2024.3366556
3165. Developing machine learning models for predicting daily relative humidity and solar radiation using lagged time series data inputs in a semi-arid climate J. Rajput et al. https://doi.org/10.1016/j.jastp.2025.106619
3166. Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China L. Yang et al. https://doi.org/10.1007/s00704-018-2598-y
3167. Evaluation of Table Grape Flavor Based on Deep Neural Networks Z. Liu et al. https://doi.org/10.3390/app13116532
3168. Unmixing marsh vegetation species across multiple sensors and spatial scales Z. Yang et al. https://doi.org/10.1080/15481603.2025.2481689
3169. Selecting appropriate machine learning methods for digital soil mapping Y. Khaledian & B. Miller https://doi.org/10.1016/j.apm.2019.12.016
3170. A Hybrid System for Automated Assessment of Korean L2 Writing: Integrating Linguistic Features with LLM W. Hur & B. Ji https://doi.org/10.3390/systems13100851
3171. Deep Learning Improves Planting Year Estimation of Macadamia Orchards in Australia A. Clark et al. https://doi.org/10.3390/agriculture15222346
3172. An Improved PV Output Forecasting Model by Using Weight Function: A Case Study in Cambodia S. Kittisontirak et al. https://doi.org/10.1155/2016/2616750
3173. Validation of age estimation methods through the scapula in a Mediterranean non-adult population M. Nogueras López et al. https://doi.org/10.1007/s00414-024-03192-5
3174. Exploring biophysical links of catch rate from mid-water trawl fishery in the north-west coast of India, Eastern Arabian Sea: A remote sensing approach P. Azeez et al. https://doi.org/10.1016/j.scitotenv.2023.163975
3175. Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search Y. Li et al. https://doi.org/10.1016/j.eswa.2025.127591
3176. New approach to evaluating predictive models of photovoltaic systems P. Dobreva et al. https://doi.org/10.1016/j.solener.2020.04.028
3177. Comparison of collision dynamics of soccer balls with energy dissipation method A. Tunçel et al. https://doi.org/10.1177/17543371241237589
3178. Evaluation of General Circulation Models over the Upper Ouémé River Basin in the Republic of Benin A. Attogouinon et al. https://doi.org/10.3390/hydrology7010011
3179. Coupled model on the variation of diffusion coefficient and surface chloride concentration in reinforced concrete structures over time T. Reichert et al. https://doi.org/10.1016/j.conbuildmat.2023.134715
3180. Comparing high-resolution snow mapping approaches in palsa mires: UAS lidar vs. modelling A. Störmer et al. https://doi.org/10.5194/tc-19-3949-2025
3181. Hybrid Machine Learning-Geostatistical Framework for Sustainable Spatiotemporal Temperature Forecasting N. Iqbal et al. https://doi.org/10.3390/su18147193
3182. Numerical Study and Geometrical Investigation of an Onshore Overtopping Device Wave Energy Converter with a Seabed Coupled Structure A. de Barros et al. https://doi.org/10.3390/jmse11020412
3183. An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys S. Zadeh et al. https://doi.org/10.1016/j.commatsci.2023.112225
3184. Empirical Validation of a Multidirectional Ultrasonic Pedestrian Detection System for Heavy-Duty Vehicles Under Adverse Weather Conditions H. Jeong & J. Kim https://doi.org/10.3390/s25175287
3185. A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling J. Tuttle et al. https://doi.org/10.1016/j.apenergy.2021.116886
3186. A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste M. Zaki et al. https://doi.org/10.1021/acsestengg.3c00043
3187. Multi-Method Explainable AI Framework for Quantifying Traffic and Meteorological Contributions to Urban Air Pollution: A Case Study of Istanbul’s Bosphorus Bridge Corridor E. Birinci et al. https://doi.org/10.3390/atmos17060591
3188. Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis Z. Yaseen et al. https://doi.org/10.3390/w11030502
3189. What is the Accuracy of PEEK Implants for Cranioplasty in Comparison to Their Patient Specific Surgical Plan? A. Wandell et al. https://doi.org/10.1016/j.joms.2022.09.004
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3203. MODIS Evapotranspiration Forecasting Using ARIMA and ANN Approach at a Water-Stressed Irrigation Scheme in South Africa M. Phesa et al. https://doi.org/10.3390/hydrology11100176
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3222. Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models O. Katipoğlu & M. Sarıgöl https://doi.org/10.1007/s00477-023-02389-1
3223. Trivariate Probabilistic Assessments of the Compound Flooding Events Using the 3-D Fully Nested Archimedean (FNA) Copula in the Semiparametric Distribution Setting S. Latif & S. Simonovic https://doi.org/10.1007/s11269-023-03448-6
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3225. ALRC: A Novel Adaptive Linear Regression Based Classification for Grade based Student Learning using Radio Frequency Identification P. Arulmozhi et al. https://doi.org/10.1007/s11277-020-07141-4
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3227. Analysis & forecasting of juvenile crime using variance threshold and time series algorithm H. Jain & R. Patel https://doi.org/10.1007/s11042-024-19780-x
3228. Understanding green house gases emission dynamics from forest fires in Thailand using predictive models F. Shahzad et al. https://doi.org/10.1016/j.gloplacha.2025.105236
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3234. Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System F. Xie et al. https://doi.org/10.3390/su16093823
3235. Multi-horizon hourly air temperature forecasting over Lake Van using classical, machine learning, and transformer-based models: a comparative benchmark with statistical significance testing M. Güneş https://doi.org/10.1007/s10651-026-00746-1
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3237. Drainage Duration Variability and PALSAR-2 Sensitivity to Rice-Field Water Status: Insights from Large-Scale In Situ Water-Level Observations X. Jin et al. https://doi.org/10.3390/rs18132136
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3242. Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning F. Doğan et al. https://doi.org/10.3390/app15010336
3243. Multiscale Spatial–Spectral Invertible Compensation Network for Hyperspectral Remote Sensing Image Denoising H. Li et al. https://doi.org/10.1109/TGRS.2024.3457010
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3249. The Data-Driven Modeling of Pressure Loss in Multi-Batch Refined Oil Pipelines with Drag Reducer Using Long Short-Term Memory (LSTM) Network S. Wang et al. https://doi.org/10.3390/en14185871
3250. Machine-learning models for predicting CO2 solubility in various brine systems: implications for carbon geo-storage S. Davoodi et al. https://doi.org/10.1016/j.molliq.2025.128122
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3252. Solar irradiance prediction with variable time lengths and multi-parameters in full climate conditions based on photovoltaic greenhouse Y. Zhu et al. https://doi.org/10.1016/j.enconman.2024.118758
3253. EU Net-Zero Policy Achievement Assessment in Selected Members through Automated Forecasting Algorithms C. Tudor & R. Sova https://doi.org/10.3390/ijgi11040232
3254. An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region T. Bu et al. https://doi.org/10.3390/w16243583
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3257. Drive System Inverter Modeling Using Symbolic Regression M. Glučina et al. https://doi.org/10.3390/electronics12030638
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3259. The Feasibility Surface: Mapping the Landscape of Run-of-River Hydropower Potential G. Alcalá et al. https://doi.org/10.3390/en19153568
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3263. Impact of Sustainable Development and Environmental Protection on the Volume of Domestic Hard Coal Sales in Poland A. Rybak & E. Włodarczyk https://doi.org/10.3390/en15020443
3264. Development of a modified Green–Ampt model considering the unsaturated zone Y. Li et al. https://doi.org/10.1016/j.biosystemseng.2025.104174
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3266. A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects Y. Himeur et al. https://doi.org/10.1016/j.inffus.2021.02.002
3267. Research on a Real-Time Estimation Method of Vehicle Sideslip Angle Based on EKF W. Sun et al. https://doi.org/10.3390/s22093386
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3269. Integrated Machine Learning and Health Risk Assessment for Groundwater Nitrate Contamination in Handan City, China Y. Zhao et al. https://doi.org/10.3390/w18101174
3270. Deciphering the mechanisms of arsenic adsorption on MOF membranes via a machine learning framework incorporating attention mechanisms Y. Wu et al. https://doi.org/10.1016/j.jece.2026.124452
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3273. Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis S. Kashinath et al. https://doi.org/10.1109/ACCESS.2021.3069770
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3275. Analyzing the dynamic behavior and market efficiency of green energy investments: A geometric and fractional brownian motion approach M. Bozkurt et al. https://doi.org/10.1080/15567249.2025.2457438
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3278. Machine Learning Methods for Predicting the Performance of Cold‐Formed Steel Sections: A State‐of‐the‐Art Review G. Iyappan & P. Sangeetha https://doi.org/10.1002/tal.70079
3279. Multi-Objective Constrained Constellation Design and Characterization for Cislunar Space Object Tracking C. Chan & S. Singh https://doi.org/10.2514/1.A36646
3280. Ammonia emissions from livestock facilities around an international airport, Tehran, Iran: An experimental and mathematical study G. Asadollahfardi et al. https://doi.org/10.1002/ep.14359
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3283. Machine learning downscaling of satellite derived land surface temperature in the historic urban heritage area of São João del-Rei Brazil J. Neto et al. https://doi.org/10.1007/s44327-026-00318-9
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3285. Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysis Y. Tao & Y. Tang https://doi.org/10.1007/s12650-022-00879-y
3286. Backcasting and forecasting stabilized soil mechanical properties for mechanistic-empirical pavement design A. Carey & I. Howard https://doi.org/10.1016/j.conbuildmat.2022.126645
3287. Novel hybrid deep-long short-term memory and machine learning algorithms for the crack-healing estimation of eco-friendly engineered cementitious composites C. Kina & H. Tanyildizi https://doi.org/10.1016/j.asoc.2026.115277
3288. A probabilistic integration of LSTM and Gaussian process regression for uncertainty-aware reservoir water level predictions K. Tandon & S. Sen https://doi.org/10.1080/02626667.2024.2428428
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3292. Using Fuzzy Inference Systems for the Creation of Forex Market Predictive Models A. Hernandez-Aguila et al. https://doi.org/10.1109/ACCESS.2021.3077910
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3294. A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff A. Aieb et al. https://doi.org/10.3390/s22093241
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3296. Forecasting for Battery Storage: Choosing the Error Metric C. Singleton & P. Grindrod https://doi.org/10.3390/en14196274
3297. Optimized Dissolved Oxygen Prediction Using Genetic Algorithm and Bagging Ensemble Learning for Smart Fish Farm P. Khan & Y. Byun https://doi.org/10.1109/JSEN.2023.3278719
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3301. A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products P. Ananias et al. https://doi.org/10.3390/rs14174283
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3303. Mathematical modeling for solute transport in aquifer M. Singh et al. https://doi.org/10.2166/hydro.2015.034
3304. Machine Learning Models Applied to Manage the Operation of a Simple SWRO Desalination Plant and Its Application in Marine Vessels G. Marichal Plasencia et al. https://doi.org/10.3390/w13182547
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3306. Correcting climate model simulations in Heihe River using the multivariate bias correction package Q. Zhu & W. Zhao https://doi.org/10.1007/s10651-018-0410-x
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3308. Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India W. Makhdumi et al. https://doi.org/10.1177/11786221251360407
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3311. Presenting new approaches based on Zhao–Atlas–Marks distribution and machine learning for detecting structural damage in steel beams H. Ahmadi et al. https://doi.org/10.1108/IJSI-04-2025-0088
3312. Analysis of pile load-settlement prediction using finite element method and deep neural network M. Kabir et al. https://doi.org/10.1088/2631-8695/ae1dcc
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3318. Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping K. Gupta et al. https://doi.org/10.1016/j.jpcs.2021.110111
3319. Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines J. Barrera et al. https://doi.org/10.1007/s13042-022-01583-x
3320. Temporal effects on glare response from daylight M. Kent et al. https://doi.org/10.1016/j.buildenv.2016.09.002
3321. ENSO-induced precipitation seasonality in the Chinese loess plateau during 1767–2050 CE L. Yi & L. Tan https://doi.org/10.1016/j.fmre.2025.04.010
3322. A Transformer-Based Deep Diffusion Model for Bulk RNA-Seq Deconvolution Y. Liu et al. https://doi.org/10.3390/biology14091150
3323. Evaluating the impact of multivariate imputation by MICE in feature selection M. Mera-Gaona et al. https://doi.org/10.1371/journal.pone.0254720
3324. Protein Stabilization in White Wine by Using a Flow-Through Fixed-Bed Adsorption Column: Analysis of Adsorption Isotherms and Breakthrough Curves E. Goktayoglu & R. Runnebaum https://doi.org/10.1021/acsfoodscitech.5c00985
3325. Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil T. Pham et al. https://doi.org/10.1155/2021/5570945
3326. Numerical models of hydrodynamics and marine debris in the Malacca Strait K. Ondara & S. Purnawan https://doi.org/10.1088/1755-1315/869/1/012053
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3328. Evaluating WRF simulated temperature uncertainties across Northern Hemisphere climate zones with different land surface models and land cover datasets B. Wang et al. https://doi.org/10.1016/j.atmosres.2026.108897
3329. Shortfall of B3LYP in Reproducing NMR JCH Couplings in Some Isomeric Epoxy Structures with Strong Stereoelectronic Effects: A Benchmark Study on DFT Functionals J. Adamson et al. https://doi.org/10.1002/cphc.201701125
3330. High-throughput spectral imaging combined with convolutional neural networks for simultaneous quantitative analysis of mixed anionic surfactants in aqueous environments H. Wang et al. https://doi.org/10.1039/D5AY01443C
3331. Correlation between subjective and objective assessment of magnetic resonance (MR) images L. Chow et al. https://doi.org/10.1016/j.mri.2016.03.006
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3333. Identification of flux checkpoints in a metabolic pathway through white-box, grey-box and black-box modeling approaches O. Lo-Thong et al. https://doi.org/10.1038/s41598-020-70295-5
3334. An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application H. Wang et al. https://doi.org/10.5194/gmd-15-3555-2022
3335. Simulation of Renewable Energy Systems with Alternative Energy Scenarios in Turkey’s Electrical Energy Planning E. Ertane Baş et al. https://doi.org/10.3390/su17062665
3336. Dynamic Changes, Spatiotemporal Differences, and Ecological Effects of Impervious Surfaces in the Yellow River Basin, 1986–2020 J. Zhang et al. https://doi.org/10.3390/rs15010268
3337. 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 https://doi.org/10.3390/risks12020025
3338. Prediction of time-dependent concrete mechanical properties based on advanced deep learning models considering complex variables Y. Jiang et al. https://doi.org/10.1016/j.cscm.2024.e03629
3339. Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India C. Pande et al. https://doi.org/10.1016/j.envpol.2024.124040
3340. 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 https://doi.org/10.1007/s44292-026-00076-8
3341. Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using MODIS Deep Blue AOD and Land Use Regression in California, United States H. Lee et al. https://doi.org/10.1021/acs.est.6b01438
3342. Analyzing the correlation between groundwater tables and the area of Groundwater-Dependent lakes in arid region R. Zhang et al. https://doi.org/10.1016/j.ecolind.2024.111808
3343. Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation A. Mehrdanesh et al. https://doi.org/10.1007/s00366-021-01522-4
3344. A formal evaluation of KNN and decision tree algorithms for waste generation prediction in residential projects: a comparative approach A. Gulghane et al. https://doi.org/10.1007/s42107-023-00772-5
3345. Artificial neural network based prediction of malaria abundances using big data: A knowledge capturing approach S. Thakur & R. Dharavath https://doi.org/10.1016/j.cegh.2018.03.001
3346. Evaluation of CORDEX Africa regional climate models performance in simulating climatology of Zarima sub-basin northwestern Ethiopia M. Kassahun et al. https://doi.org/10.1186/s40068-023-00325-4
3347. A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process Z. Wang et al. https://doi.org/10.1109/ACCESS.2021.3057494
3348. Spatial assessment of soil health in the Krishna Delta using machine learning and land use patterns A. Garg et al. https://doi.org/10.1007/s44378-026-00243-8
3349. Integrated Hydrological Analysis of Little Akaki Watershed Using SWAT-MODFLOW, Ethiopia M. Tolera & I. Chung https://doi.org/10.3390/app11136011
3350. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes A. Corte et al. https://doi.org/10.1016/j.compag.2020.105815
3351. The Impact of Satellite‐Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts B. Candy et al. https://doi.org/10.1002/2016JD026417
3352. The Bidirectional Gated Recurrent Unit Network Based on the Inception Module (Inception-BiGRU) Predicts the Missing Data by Well Logging Data Y. Sun et al. https://doi.org/10.1021/acsomega.3c03677
3353. An Individual Motion-Driven Artificial Intelligence Method for Precipitation Forecasting Using Radar Image Sequencing N. Yang & X. Li https://doi.org/10.1109/TGRS.2024.3439871
3354. Software tooling support for atmospheric dispersion modeling of the AERMOD system A. Borges et al. https://doi.org/10.1016/j.envsoft.2026.107079
3355. Investigating indoor concentrations of PM10 in an underground loading dock in Malaysia M. Abualqumboz et al. https://doi.org/10.1007/s11869-016-0413-4
3356. The first large-scale bioavailable Sr isotope map of China and its implication for provenance studies X. Wang & Z. Tang https://doi.org/10.1016/j.earscirev.2020.103353
3357. Assessing climate change impacts on maize yield and effects of mulching adaptation in Arba Minch, Ethiopia B. Reta https://doi.org/10.1007/s43621-025-01968-2
3358. Spatial Distribution and Prediction of Cu and Mn in Helan Farmland Soil Based on GIS and Machine Learning L. Ma et al. https://doi.org/10.1002/ldr.70585
3359. 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. https://doi.org/10.3390/atmos15111385
3360. Social cognitive career theory and accounting students’ intentions to pursue an auditing career C. Agyenim-Boateng et al. https://doi.org/10.1108/JAAR-05-2024-0172
3361. Design of high-temperature NiTiCuHf shape memory alloys with minimum thermal hysteresis using Bayesian optimization J. Broucek et al. https://doi.org/10.1016/j.actamat.2024.120651
3362. Integrated biophysical assessment and erosion hotspot mapping for land degradation prioritization in the Megele washa watershed, Ethiopia K. Atlaw et al. https://doi.org/10.1038/s41598-026-49658-x
3363. Synoptic-aware explainable artificial intelligence (SA-XAI) model for bias correction and regionalization of satellite precipitation over complex terrain M. Tosan et al. https://doi.org/10.1016/j.atmosres.2026.109213
3364. Mesh/membrane composite with superior mechanical performance: A deep learning-based design Y. Zhang et al. https://doi.org/10.1016/j.compscitech.2022.109735
3365. Cadmium in rice grains from a field trial in relation to model parameters of Cd-toxicity and -absorption in rice seedlings W. Chiao et al. https://doi.org/10.1016/j.ecoenv.2018.11.061
3366. Maize yield prediction using machine learning: a systematic literature review J. Nyengere et al. https://doi.org/10.3389/frai.2026.1735157
3367. Sales Forecasting for New Products Using Homogeneity-Based Clustering and Ensemble Method S. Hwang et al. https://doi.org/10.3390/electronics14030520
3368. GRACE Downscaling and Machine Learning Models for Groundwater Prediction: A Systematic Review M. Al Nadabi et al. https://doi.org/10.3390/hydrology13050135
3369. A webGIS Application to Assess Seawater Quality: A Case Study in a Coastal Area in the Northern Aegean Sea D. Kitsiou et al. https://doi.org/10.3390/jmse9010033
3370. Frequency analysis of extreme flows using an Artificial Neural Network (ANN) model case Western High Atlas - Morocco A. El Alaoui El Fels et al. https://doi.org/10.1007/s12145-022-00784-w
3371. Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm M. Su et al. https://doi.org/10.3390/en12061094
3372. Prediction of Continuous Cooling Transformation Diagrams for Ni-Cr-Mo Welding Steels via Machine Learning Approaches X. Geng et al. https://doi.org/10.1007/s11837-020-04057-z
3373. SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter data M. Rahimi et al. https://doi.org/10.1007/s12469-022-00310-7
3374. Prediction model of the outflow temperature from stratified reservoir regulated by stratified water intake facility based on machine learning algorithm Y. Lu et al. https://doi.org/10.1016/j.ecolind.2023.110560
3375. Integration of Deep Learning and Sparrow Search Algorithms to Optimize Greenhouse Microclimate Prediction for Seedling Environment Suitability D. Shi et al. https://doi.org/10.3390/agronomy14020254
3376. Development of new delivery systems of hyaluronic acid based on silica hydrogels: In vitro kinetics of release and enzymatic degradation of the drug E. Dolinina & E. Parfenyuk https://doi.org/10.1016/j.onano.2025.100279
3377. A double-stage method for improving long-term numerical wind speed prediction via chaos-noise decoupling Z. Duan et al. https://doi.org/10.1080/15435075.2026.2698762
3378. Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks E. Sharma et al. https://doi.org/10.1109/ACCESS.2020.3039002
3379. Application of SVM Based on Optimization of Newton Raphson's Algorithm in Non‐Invasive Blood Glucose Detection Y. Wu et al. https://doi.org/10.1002/ima.70100
3380. Proceso operativo simple para el análisis de frecuencias de crecientes con series de duración parcial D. Campos-Aranda https://doi.org/10.24850/j-tyca-2025-03-07
3381. Climate change impacts on potential evapotranspiration and crop water demand in the Tana Subbasin, upper blue Nile Basin, Ethiopia H. Eshetie et al. https://doi.org/10.2166/wcc.2026.023
3382. Assessment of the Spatiotemporal Dynamics of Agricultural Drought in the Tekeze Watershed, Northern Ethiopia Y. Tela et al. https://doi.org/10.1002/joc.70016
3383. Greening the arid: the impact of urban vegetation on the outdoor thermal comfort in hot and dry city F. Meliouh et al. https://doi.org/10.46932/sfjdv5n12-005
3384. Advancing Mineral Exploration: Robust and Interpretable Carbonate Quantification in Drill Cores via Hyperspectral Machine Learning V. Sales et al. https://doi.org/10.3390/min16050479
3385. A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification T. Ju et al. https://doi.org/10.1007/s11783-023-1608-1
3386. Investigating the Inductive Bias of Visual Convolutional Backbones for Multi-Step Photovoltaic Forecasting: A ConvNeXt–LSTM Approach B. Lv et al. https://doi.org/10.3390/en19102264
3387. Numerical study of ceiling fan-assisted cooling for sleep thermal comfort in hot-humid climates S. Yasmeen et al. https://doi.org/10.1016/j.applthermaleng.2026.131310
3388. Satellite thermographies as an essential tool for the identification of cold air pools: an example from SE Spain D. Espín Sánchez et al. https://doi.org/10.1080/22797254.2022.2133744
3389. Predicting soil hydraulic conductivity using stacked deep neural networks: Long-term tillage impacts on a Vertisol in the Eastern Mediterranean İ. Çelik et al. https://doi.org/10.1016/j.still.2025.106797
3390. Sales Prediction Based on Machine Learning Scenarios Q. Mao https://doi.org/10.54691/bcpbm.v23i.1474
3391. The development of evolutionary computing model for simulating reference evapotranspiration over Peninsular Malaysia M. Muhammad et al. https://doi.org/10.1007/s00704-021-03606-z
3392. Predictive validation of an extended TPB model in Islamic branding: PLSpredict and CVPAT evidence from Muslim and non-Muslim Thai consumers Z. Jumani https://doi.org/10.1108/JIMA-09-2025-0574
3393. Thermographic images for predicting the weight of lamb cuts M. de Souza et al. https://doi.org/10.1071/AN25213
3394. From Transcripts to Insights for Recommending the Curriculum to University Students T. Mai et al. https://doi.org/10.1007/s42979-020-00332-7
3395. Machine Learning-Based Estimation of Sewage Treatment Facility Capacity and Design Adequacy: A Case Study in Korea J. Lee et al. https://doi.org/10.3390/pr13123995
3396. Investigating the Techno-economic Utility of Integrating an Optimized PV/diesel Hybrid System in an Entire Oil Field in the Western-dessert in Egypt M. El-Yamany et al. https://doi.org/10.37394/232016.2021.16.11
3397. A network percolation-based contagion model of flood propagation and recession in urban road networks C. Fan et al. https://doi.org/10.1038/s41598-020-70524-x
3398. Predicting odor concentration for environmental sustainability: a comparison among machine Learning methods M. Palma et al. https://doi.org/10.1007/s11135-025-02056-3
3399. Building a skeleton-based 3D body model with angle sensor data Q. Wang et al. https://doi.org/10.1016/j.smhl.2020.100141
3400. On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression J. Qi et al. https://doi.org/10.1109/LSP.2020.3016837
3401. Wind damage drivers and forest owners’ attitudes towards development of a decision support system for Norwegian forestry J. Seuren et al. https://doi.org/10.1080/02827581.2026.2688148
3402. Multi-objective optimization ensembled generative design for large-diameter tunnel passing underneath existing tunnels P. Lin et al. https://doi.org/10.1016/j.asoc.2023.110448
3403. From Aerosol Optical Depth to Risk Assessment: A Novel Framework for Environmental Impact Statistics of Air Quality Using AERONET I. Tanasa et al. https://doi.org/10.3390/environments12080285
3404. Digitalization of Legacy Datasets and Machine Learning Regression Yields Insights for Reservoir Property Prediction and Submarine-Fan Evolution: A Subsurface Example From the Lewis Shale, Wyoming T. Martin et al. https://doi.org/10.2110/001c.36638
3405. Refining Preference-Based Recommendation with Associative Rules and Process Mining Using Correlation Distance M. Bin Ahmadon et al. https://doi.org/10.3390/bdcc7010034
3406. Support Vector Regression Prediction of Dye Saturation in Recycled PET/PCT Microfibers for Deep Black Shade H. Cho et al. https://doi.org/10.1007/s12221-025-01285-5
3407. Biological nitrogen fixation across major biomes in Latin America: Patterns and global change effects C. Reis et al. https://doi.org/10.1016/j.scitotenv.2020.140998
3408. Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data H. Kim et al. https://doi.org/10.1016/j.eswa.2022.119377
3409. Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model Z. Yaseen et al. https://doi.org/10.1016/j.jhydrol.2017.09.007
3410. Design and Development of a New Methodology Based on Expert Systems Applied to the Prevention of Indoor Radon Gas Exposition Risks J. Cerqueiro-Pequeño et al. https://doi.org/10.3390/ijerph18010269
3411. A New Method for Feature Extraction and Classification of Single-Stranded DNA Based on Collaborative Filter B. Yan et al. https://doi.org/10.1155/2020/3876367
3412. Machine learning in ARDS: an intensivist’s guide to artificial intelligence applications R. Lombardi et al. https://doi.org/10.1186/s13054-026-05928-8
3413. Analysis of Changes in Hydrodynamics Patterns and Sedimentation due to Coastal Reclamation Plans in Surabaya A. Wijaya & C. De Silva Nusantara https://doi.org/10.1088/1755-1315/1551/1/012063
3414. Prediction of Precipitation Based on Recurrent Neural Networks in Jingdezhen, Jiangxi Province, China J. Kang et al. https://doi.org/10.3390/atmos11030246
3415. Revolutionizing nano-optics: How artificial intelligence is shaping the next frontier of scanning near-field optical microscopy Z. Jin et al. https://doi.org/10.1063/5.0320251
3416. Optimization and kinetic modeling of media composition for hyaluronic acid production from carob extract with Streptococcus zooepidemicus A. Ozcan et al. https://doi.org/10.1007/s00449-022-02806-9
3417. Predicting Yield Losses in Rice Mixed-Weed Species Infestations in California W. Brim-DeForest et al. https://doi.org/10.1614/WS-D-16-00079.1
3418. Machine acceleration time series prediction for dimensional accuracy of 3D printed parts J. Deb et al. https://doi.org/10.1016/j.dsm.2024.02.002
3419. Parameter Extraction Method of Overlapping Radar Signals Using Modulation Recognition-Guided Semantic Segmentation W. Huo et al. https://doi.org/10.1109/JSTARS.2024.3361905
3420. Investigating the Accuracy of Forecasting Travel Duration for Uber Trips and Analyzing the Influence of Weather on Traffic Flow S. Mewada et al. https://doi.org/10.32628/CSEIT2139028
3421. Prediction of Length of Stay on the Intensive Care Unit Based on Bayesian Neural Network J. Fang et al. https://doi.org/10.1088/1742-6596/1631/1/012089
3422. Estimation of syngas yield in hydrothermal gasification process by application of artificial intelligence models Y. Ayub et al. https://doi.org/10.1016/j.renene.2023.118953
3423. Global Completion of Occupancy Maps Using Generative Models S. GUZEL & E. Uslu https://doi.org/10.5565/rev/elcvia.2162
3424. Pilot study: validity and reliability of textile insoles used to measure the characteristics of landing tasks during rehabilitation and artistic gymnastics D. Schümperlin et al. https://doi.org/10.1186/s13104-023-06328-9
3425. Using skeletal position to estimate human error rates in telemanipulator operators T. Piercy et al. https://doi.org/10.3389/frobt.2023.1287417
3426. Impact of spaceborne carbon monoxide observations from the S-5P platform on tropospheric composition analyses and forecasts R. Abida et al. https://doi.org/10.5194/acp-17-1081-2017
3427. Automated Machine Learning for High-Resolution Daily and Hourly Methane Emission Mapping for Rice Paddies over South Korea: Integrating MODIS, ERA5-Land, and Soil Data J. Jang et al. https://doi.org/10.3390/rs18050753
3428. Data refinement for enhanced ionic conductivity prediction in garnet-type solid-state electrolytes Z. Kharbouch et al. https://doi.org/10.1016/j.ssi.2024.116713
3429. Anomalous events removal for automated traffic noise maps generation R. Alsina-Pagès et al. https://doi.org/10.1016/j.apacoust.2019.03.007
3430. CORTISOL HORMONE AND STRESS LEVELS: COLORIMETRIC ASSESSMENT WITH ARTIFICIAL INTELLIGENCE SUPPORTED IMAGE PROCESSING METHOD M. Çapan et al. https://doi.org/10.36306/konjes.1633932
3431. Hybrid machine learning approach in forecasting renewable energy production: Extra trees, catBoost and LightGBM based stacking model Z. Colak https://doi.org/10.1016/j.renene.2025.125167
3432. Comparative analysis of methods and model prediction performance evaluation for continuous online non-invasive quality assessment during drying of apples from two cultivars L. Shrestha et al. https://doi.org/10.1016/j.tsep.2019.100461
3433. Traffic assessments and economic outcomes: real-time optimization through digital twins and machine learning Z. Rezaei et al. https://doi.org/10.1007/s41062-025-02380-5
3434. Optimal feature-based InSAR phase filtering framework using convolutional neural network and mathematical morphology M. Hamid et al. https://doi.org/10.1016/j.ejrs.2026.01.001
3435. Comparing minimalist and comprehensive IMU-based approaches for monitoring horse rider posture A. Louis et al. https://doi.org/10.1177/17543371261453483
3436. Detecting Anomalies in Meteorological Data Using Support Vector Regression M. Lee et al. https://doi.org/10.1155/2018/5439256
3437. One‐ to 10‐Day Forecasts of Ionospheric Total Electron Content Using a Statistical Model J. Lean https://doi.org/10.1029/2018SW002077
3438. Análisis de frecuencias de crecientes trivariados con dependencia regional y funciones Cópula D. Campos-Aranda https://doi.org/10.24850/j-tyca-2025-01-08
3439. A cross-language and cross-cultural validation of the parents' evaluation of aural/oral performance of children plus (PEACH+) rating scale in Singaporean children L. Yong Sheng et al. https://doi.org/10.1080/2050571X.2026.2697916
3440. Use of PMMA/(rice husk ash)/polypyrrole membranes for the removal of dyes and heavy metal ions H. da Rocha et al. https://doi.org/10.1016/j.jtice.2020.03.003
3441. Attitude estimation and control based on modified unscented Kalman filter for gyro-less satellite with faulty sensors S. Pourtakdoust et al. https://doi.org/10.1016/j.actaastro.2021.11.008
3442. Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment D. Althoff & L. Rodrigues https://doi.org/10.1016/j.jhydrol.2021.126674
3443. Predicting precipitation based on copula-statistical models (Case study: Northwest of Iran) M. Kouhi & M. Amini https://doi.org/10.1016/j.ejrh.2025.102851
3444. Application of Machine Learning Methods to Predicting the Degree of Crystallinity of MFI Type Zeolites A. Nikiforov et al. https://doi.org/10.1134/S0965544122030057
3445. ATT-CR: Adaptive Triangular Transformer for Cloud Removal Y. Wu et al. https://doi.org/10.1109/JSTARS.2025.3596856
3446. Exploring the Influence of Climate Change on Earthen Embankments with Expansive Soil D. Ghosh et al. https://doi.org/10.3390/geosciences14020037
3447. Accurate Strain Extraction via Kernel Extreme Learning Machine for Fiber Bragg Grating Sensor X. Xu et al. https://doi.org/10.1109/JSEN.2022.3156595
3448. Geometrical Evaluation of an Overtopping Wave Energy Converter Device Subject to Realistic Irregular Waves and Representative Regular Waves of the Sea State That Occurred in Rio Grande—RS M. Paiva et al. https://doi.org/10.3390/pr13020335
3449. Dynamic Compression Response and Optimization of Stretching–Bending Synergistic Lattices at High Strain Rates X. Gao & L. Long https://doi.org/10.3390/ma19050859
3450. An integrated experimental–computational framework for optimizing SLA 3D printing parameters via machine learning and genetic algorithms A. Khan et al. https://doi.org/10.1016/j.jmrt.2026.03.133
3451. Baseline-Conditioned Spatial Heterogeneity in Ensemble-Learning Correction for Global Hourly Sea-Level Reconstruction Y. Hao et al. https://doi.org/10.3390/jmse14080697
3452. Complete-arch accuracy of seven intraoral scanners measured by the virtual-fit method D. Borbola et al. https://doi.org/10.1016/j.jdent.2024.105281
3453. Mechanical and microstructural properties of broadband anti-reflective TiO2/SiO2 coatings for photovoltaic applications fabricated by magnetron sputtering D. Zambrano et al. https://doi.org/10.1016/j.solmat.2020.110841
3454. Forecasting lake evaporation under a changing climate with an integrated artificial neural network model: A case study Lake Nasser, Egypt M. El-Mahdy et al. https://doi.org/10.1016/j.jafrearsci.2021.104191
3455. Prediction of site-specific drug deposition via dry powder inhaler using non-invasive real-time particle emission signal monitoring system S. Hatazoe et al. https://doi.org/10.3389/fphar.2026.1774142
3456. Validation of Unmanned Surface Vehicle-Based Multibeam Echosounder Bathymetric Surveys: Comparison with Manned Platforms in Harbor and Island Areas J. Bae et al. https://doi.org/10.7780/kjrs.2025.41.6.2
3457. Estimating 2-year flood flows using the generalized structure of the Group Method of Data Handling R. Walton et al. https://doi.org/10.1016/j.jhydrol.2019.05.068
3458. Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks T. Pham et al. https://doi.org/10.1080/15481603.2016.1269869
3459. Climate-adaptive passive design for sustainable libraries: simulation and machine learning-based multi-objective optimisation of comfort, energy, and environmental performance G. Izmir Tunahan & G. Özer Yaman https://doi.org/10.3389/fbuil.2026.1783466
3460. Measurement and modeling of particulate matter concentrations: Applying spatial analysis and regression techniques to assess air quality S. Sajjadi et al. https://doi.org/10.1016/j.mex.2017.09.006
3461. 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. https://doi.org/10.1007/s40831-025-01290-1
3462. Ensemble learning for predicting mortality rates affected by air quality K. Dewi et al. https://doi.org/10.1088/1742-6596/1192/1/012021
3463. Improving the Resolution and Accuracy of Groundwater Level Anomalies Using the Machine Learning-Based Fusion Model in the North China Plain G. Zhang et al. https://doi.org/10.3390/s21010046
3464. Development of a surrogate model of an amine scrubbing digital twin using machine learning methods A. Galeazzi et al. https://doi.org/10.1016/j.compchemeng.2023.108252
3465. New Modeling Approach for Predicting Disaggregated Time-Series Traffic Crashes B. Cai et al. https://doi.org/10.1177/03611981231182703
3466. CORTO: The Celestial Object Rendering TOol at DART Lab M. Pugliatti et al. https://doi.org/10.3390/s23239595
3467. Impacts of DEM type and resolution on deep learning-based flood inundation mapping M. Fereshtehpour et al. https://doi.org/10.1007/s12145-024-01239-0
3468. Thermal pressure ventilation analysis in a sloping high-temperature tunnel: A case study in China J. Che et al. https://doi.org/10.1016/j.tust.2024.106183
3469. A Comparative Study on Classification Methods for Renal Cell and Lung Cancers Using RNA-Seq Data B. Haznedar & N. Simsek https://doi.org/10.1109/ACCESS.2022.3211505
3470. Effect of urban environment on cardiovascular health: a feasibility pilot study using machine learning to predict heart rate variability in patients with heart failure V. van Es et al. https://doi.org/10.1093/ehjdh/ztae050
3471. A Practical Design and Implementation of a Low Cost Platform for Remote Monitoring of Lower Limb Health of Amputees in the Developing World N. Mathur et al. https://doi.org/10.1109/ACCESS.2016.2622163
3472. Shield machine position prediction and anomaly detection during tunnelling in loess region using ensemble and deep learning algorithms X. Bai et al. https://doi.org/10.1007/s11440-023-01902-8
3473. Design principles and emerging advances of high-entropy alloy electrocatalysts for hydrogen evolution X. Zhao et al. https://doi.org/10.1016/j.ijhydene.2026.154241
3474. Reconstruction of Meteorological Records by Methods Based on Dimension Reduction of the Predictor Dataset C. Balsa et al. https://doi.org/10.3390/computation11050098
3475. Mathematical modeling of batch bioethanol generation from carob extract in the suspended‐cell stirred‐tank bioreactor M. Germec et al. https://doi.org/10.1002/er.5612
3476. Synthetic CT for gamma knife radiosurgery dose calculation: A feasibility study F. Li et al. https://doi.org/10.1016/j.ejmp.2024.104504
3477. Column-wise Guided Data Imputation A. Petrozziello & I. Jordanov https://doi.org/10.1016/j.procs.2017.05.008
3478. Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics—Part 1: Robustness D. Pagnon et al. https://doi.org/10.3390/s21196530
3479. Machine learning + microwave pyrolysis: Optimal design for the collaborative preparation of hydrogen production with ceramsite X. Song & S. Luo https://doi.org/10.1016/j.ijhydene.2025.151629
3480. Analysis of intensity and spatial patterns of public use in natural treatment systems using geotagged photos from social media A. Ghermandi https://doi.org/10.1016/j.watres.2016.09.009
3481. Coupling of 1D models (SWAT and SWMM) with 2D model (iRIC) for mapping inundation in Brahmani and Baitarani river delta P. Rai et al. https://doi.org/10.1007/s11069-018-3281-4
3482. Forecasting of particulate matter time series using wavelet analysis and wavelet-ARMA/ARIMA model in Taiyuan, China H. Zhang et al. https://doi.org/10.1080/10962247.2017.1292968
3483. Australia's terrestrial industrial footprint and ecological intactness R. Venegas-Li et al. https://doi.org/10.5194/essd-18-2179-2026
3484. Meteorological Variables’ Influence on Electric Power Generation for Photovoltaic Systems Located at Different Geographical Zones in Mexico J. Ruz-Hernandez et al. https://doi.org/10.3390/app9081649
3485. Physics-informed machine learning enabled virtual experimentation for 3D printed thermoplastic Z. Chen et al. https://doi.org/10.1039/D4MH01022A
3486. Using Dual Beta Distributions to Create “Proper” ROC Curves Based on Rating Category Data D. Mossman & H. Peng https://doi.org/10.1177/0272989X15582210
3487. Election Algorithm for Random k Satisfiability in the Hopfield Neural Network S. Sathasivam et al. https://doi.org/10.3390/pr8050568
3488. A Multistage Hybrid Deep Learning Model for Enhanced Solar Tracking M. Mulenga et al. https://doi.org/10.1109/ACCESS.2023.3333895
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3730. Determination of Libidibia ferrea Markers Using Spectrophotometry and Chemometric Tools with Comparison to a Standard High-Performance Liquid Chromatography (HPLC) Protocol M. Andrade et al. https://doi.org/10.1080/00032719.2022.2032123
3731. A Peak Traffic Congestion Prediction Method Based on Bus Driving Time Z. Huang et al. https://doi.org/10.3390/e21070709
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3739. Assessing Rodent-Induced Ecological Disturbance in Natural Grasslands Using Multi-Source Spatial Data M. Huang et al. https://doi.org/10.3390/ani16142260
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3743. Hydropower projects investment estimation artificial intelligence model by similarity measure-based few-shot machine learning M. Shi et al. https://doi.org/10.1016/j.engappai.2025.110891
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3789. Fault Classification and Precise Fault Location Detection in 400 kV High-Voltage Power Transmission Lines Using Machine Learning Algorithms Ö. Özdemir et al. https://doi.org/10.3390/pr13020527
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3796. Seasonalities of Sea Water Properties in Cirebon Waters by Observational Time Series Data Compare to Copernicus Data L. Kurnia Mansur et al. https://doi.org/10.1088/1755-1315/1624/1/012009
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3801. Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps L. Vancsura et al. https://doi.org/10.3390/forecast7030036
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3805. SASE Stock Exchange Short-Term Price Prediction Using Machine Learning A. Husejinovic & N. Durmić https://doi.org/10.2139/ssrn.4767654
3806. Comparison of High-Resolution Satellite Precipitation Products in Sub-Saharan Morocco M. Rachdane et al. https://doi.org/10.3390/w14203336
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3808. Investigation of thermal performance in a single-tank multi-layer thermal energy storage system using steel slag combined with alternative filler materials S. Zhang & B. Li https://doi.org/10.1016/j.icheatmasstransfer.2026.111256
3809. Data-driven surrogate modeling for accelerated multiscale FE 2 simulation of nonlinear thermomechanical behavior in composite materials H. Saidi et al. https://doi.org/10.1177/00219983261432304
3810. Applying Bayesian Optimization for Machine Learning Models in Predicting the Surface Roughness in Single-Point Diamond Turning Polycarbonate V. Nguyen et al. https://doi.org/10.1155/2021/6815802
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3815. Lithium enrichment in geothermal systems of the Tibetan Plateau: A coupled machine learning–geochemistry framework for mechanism and prediction S. Wei et al. https://doi.org/10.1016/j.earscirev.2026.105604
3816. Building Agent-Based Decision Support Systems for Word-of-Mouth Programs. A Freemium Application M. Chica https://doi.org/10.2139/ssrn.2821171
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3818. Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change Q. Lin et al. https://doi.org/10.1016/j.scitotenv.2022.158049
3819. Smart Polymeric Liners for Internal Corrosion Control in Wet Sour Gas Pipelines: Integrating Nanostructured Materials and AI-Driven Predictive Modelling M. Okyere https://doi.org/10.25082/RIMA.2026.01.005
3820. Projected changes in surface air temperature over Pakistan under bias-constrained CMIP6 models R. Karim et al. https://doi.org/10.1007/s12517-023-11243-1
3821. Carbon fluxes over passively restored Great Fish Thicket, South Africa, reveal modest sequestration during drier rainfall years O. Gwate et al. https://doi.org/10.2989/10220119.2026.2655194
3822. The Prediction of the Gas Utilization Ratio based on TS Fuzzy Neural Network and Particle Swarm Optimization S. Zhang et al. https://doi.org/10.3390/s18020625
3823. A regional analysis model of maize kernel moisture L. Li et al. https://doi.org/10.1002/agj2.20532
3824. Analysis of Radiosonde Temperature Profile Measurement in Pamengpeuk S. Rahayu et al. https://doi.org/10.1088/1742-6596/1373/1/012003
3825. An embedding and interactions learning approach for ID feature in deep recommender system S. Zhang et al. https://doi.org/10.1016/j.eswa.2022.118425
3826. Predicting Energy-Based CO2 Emissions in the United States Using Machine Learning: A Path Toward Mitigating Climate Change L. Tian et al. https://doi.org/10.3390/su17072843
3827. Quantitative Assessment of the Airway Response to Bronchial Tests Based on a Spirometric Curve Shift A. Polak et al. https://doi.org/10.1109/TBME.2020.3004907
3828. Influence of Carob Flour and Carob Bean Gum on Rheological Properties of Cocoa and Carob Pastry Fillings M. Benković et al. https://doi.org/10.3390/foods8020066
3829. The risk assessment of arsenic contamination in the urbanized coastal aquifer of Rayong groundwater basin, Thailand using the machine learning approach N. Sumdang et al. https://doi.org/10.1016/j.ecoenv.2023.114665
3830. Impact of COVID-19 Disease Control Committee (CDCC) policies on prevention of the disease using Bayes network inference in west of Iran A. Soltanian et al. https://doi.org/10.1186/s12889-023-16879-y
3831. Integrated Compensation and Rotation Alignment for Three-Axis Magnetic Sensors Array Q. Li et al. https://doi.org/10.1109/TMAG.2018.2860950
3832. Comparative Analysis of Spatiotemporal Variability of Groundwater Storage in Iraq Using GRACE Satellite Data H. Mohammed et al. https://doi.org/10.3390/hydrology12040069
3833. Evaluation of differences between gridded precipitation products in the Southern Prairies of Manitoba O. Mohammadiigder et al. https://doi.org/10.1016/j.ejrh.2025.102786
3834. New Target for Accurate Terrestrial Laser Scanning and Unmanned Aerial Vehicle Point Cloud Registration T. Urbančič et al. https://doi.org/10.3390/s19143179
3835. Deep synergetic spiking neural P systems for the overall survival time prediction of glioblastoma patients X. Yin et al. https://doi.org/10.1016/j.eswa.2023.123032
3836. A study on water quality prediction by a hybrid CNN-LSTM model with attention mechanism Y. Yang et al. https://doi.org/10.1007/s11356-021-14687-8
3837. Decision support model for the selection of asphalt wearing courses in highly trafficked roads D. Jato-Espino et al. https://doi.org/10.1007/s00500-018-3136-7
3838. Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods J. Park et al. https://doi.org/10.1007/s12239-023-0047-0
3839. Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree S. Almasi et al. https://doi.org/10.1007/s10706-017-0177-0
3840. Performance of Global Climate Models in Predicting Indian Monsoon: A Systematic Evaluation Y. Dash et al. https://doi.org/10.1016/j.pce.2026.104565
3841. A Graphical–Analytical Framework for Single-Diode Model Identification Using Datasheet I–V Curves M. Heredia-Rios et al. https://doi.org/10.3390/pr14152479
3842. Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model A. Al-Musawi et al. https://doi.org/10.1007/s00366-018-0681-8
3843. Explainable machine learning for urban housing prices: Policy relevant diagnostics across three cities Y. Noh & C. Park https://doi.org/10.1016/j.cities.2026.107266
3844. Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction B. Sun et al. https://doi.org/10.1021/acs.jcim.7b00272
3845. Cross Assessment of Twenty-One Different Methods for Missing Precipitation Data Estimation A. Armanuos et al. https://doi.org/10.3390/atmos11040389
3846. Energy Load Forecasting with Machine Learning: Models, Metrics, and Future Directions M. Manzoor https://doi.org/10.70389/PJAI.100018
3847. Technology evolution in maritime autonomous systems: A patent-based analysis M. Belabyad et al. https://doi.org/10.1016/j.ocecoaman.2025.107744
3848. Application of machine learning in polymer additive manufacturing: A review T. Nasrin et al. https://doi.org/10.1002/pol.20230649
3849. State of art and emerging trends on group recommender system: a comprehensive review S. Singhal & K. Pal https://doi.org/10.1007/s13735-024-00329-5
3850. Short-term electricity consumption forecasting with deep learning E. Demir & S. Gunal https://doi.org/10.1007/s11227-025-07564-5
3851. Landscape Metrics as Ecological Indicators for PM10 Prediction in European Cities S. Sohrab et al. https://doi.org/10.3390/land13122245
3852. Using Mid-Infrared Spectroscopy to Optimize Throughput and Costs of Soil Organic Carbon and Nitrogen Estimates: An Assessment in Grassland Soils P. Ramírez et al. https://doi.org/10.3390/environments9120149
3853. A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers C. Crespo Turrado et al. https://doi.org/10.3390/s151229842
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3855. Activated carbon paper as ethylene adsorber . Qanytah et al. https://doi.org/10.1515/npprj-2022-0082
3856. Utilizing Satellite Imagery for Seasonal Trophic Analysis in the Freshwater Reservoir R. Rachmadita et al. https://doi.org/10.47352/jmans.2774-3047.188
3857. Development of a Long-Range Hydrological Drought Prediction Framework Using Deep Learning M. Khan & R. Maity https://doi.org/10.1007/s11269-024-03735-w
3858. A spatial explicit agent based model approach to evaluate the performance of different monitoring options for mortality estimates in the scope of onshore windfarm impact assessments M. Santos et al. https://doi.org/10.1016/j.ecolind.2016.09.044
3859. FORECASTING CURRENT EXCHANGE AND GOLD RATES WITH HYBRID MODELS USING TIME SERIES AND DEEP LEARNING ALGORITHMS G. Çınarer https://doi.org/10.46519/ij3dptdi.1633193
3860. Diagnosis of depression based on facial multimodal data N. Jin et al. https://doi.org/10.3389/fpsyt.2025.1508772
3861. Winter wheat yield prediction using linear and nonlinear machine learning algorithms based on climatological and remote sensing data M. Haseeb et al. https://doi.org/10.1016/j.inpa.2025.02.004
3862. Numerical modelling of storm tides in the Estuarine System of Santos, São Vicente and Bertioga (SP, Brazil) M. Ruiz et al. https://doi.org/10.1016/j.rsma.2021.101791
3863. Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model L. Ye et al. https://doi.org/10.1007/s00477-021-02055-4
3864. Deep-learning-based real-time individualization for reduce-order haemodynamic model B. Li et al. https://doi.org/10.1016/j.compbiomed.2024.108476
3865. Combining machine learning and metaheuristics optimizing for 3PLs’ daily payment schedules in logistics S. Uymaz et al. https://doi.org/10.1016/j.jestch.2026.102436
3866. An Efficient and Interpretable Stacked Model for Wind Speed Estimation Based on Ensemble Learning Algorithms A. Jha et al. https://doi.org/10.1002/ente.202301188
3867. A comprehensive comparison and accuracy of different methods to obtain mean radiant temperature in indoor environment M. Özbey & C. Turhan https://doi.org/10.1016/j.tsep.2022.101295
3868. Geologically deep learning for high-resolution sparse 3D oil reservoir modeling S. Hu et al. https://doi.org/10.1016/j.egyai.2026.100731
3869. AI-BASED ENERGY FORECASTING AND IMPROVED DEMAND MANAGEMENT IN SMART HOMES A. Tokhmetov et al. https://doi.org/10.55452/1998-6688-2026-23-2-133-149
3870. Ethanol production in a biofilm reactor with non-sterile carob extract media and its modeling M. Germec et al. https://doi.org/10.1080/15567036.2018.1511643
3871. Cotton Ginning Rate Prediction Model Development for Commercial Gins: Impact of Variety, Quality, and Moisture Content J. Tumuluru et al. https://doi.org/10.56454/QOHS1717
3872. Deep learning-based stock market forecasting: A comparative analysis of ANN, CNN, and LSTM C. C. M. et al. https://doi.org/10.21511/imfi.23(2).2026.17
3873. The impact of climate change on snowfall in Iran Basins using the satellite-derived snow products and CMIP6 Bias Corrected model H. Ahmadi et al. https://doi.org/10.1007/s00704-022-04302-2
3874. OCLE: A European open access database on climate change effects on littoral and oceanic ecosystems C. de la Hoz et al. https://doi.org/10.1016/j.pocean.2018.09.021
3875. Prediction of Wastewater Treatment Plant Effluent Water Quality Using Recurrent Neural Network (RNN) Models P. Wongburi & J. Park https://doi.org/10.3390/w15193325
3876. HSPEI: A 1‐km spatial resolution SPEI dataset across the Chinese mainland from 2001 to 2022 H. Xia et al. https://doi.org/10.1002/gdj3.276
3877. Techniques and productivity of coppice harvesting operations in Europe: a meta-analysis of available data R. Spinelli et al. https://doi.org/10.1007/s13595-016-0578-x
3878. Traffic Noise Modelling Using Land Use Regression Model Based on Machine Learning, Statistical Regression and GIS A. Adulaimi et al. https://doi.org/10.3390/en14165095
3879. Performance improvement of integrated CO2 systems with HVAC and hot water for hotels S. Smitt et al. https://doi.org/10.1016/j.tsep.2021.100869
3880. ETo‐Brazil: A Daily Gridded Reference Evapotranspiration Data Set for Brazil (2000–2018) D. Althoff et al. https://doi.org/10.1029/2020WR027562
3881. Machine Learning in Wear Prediction R. Shah et al. https://doi.org/10.1115/1.4066865
3882. Intelligent Cluster Head Selection for Energy-Efficient Wireless Sensor Networks: An MLP-Based Approach F. Sanhaji et al. https://doi.org/10.1007/s11277-024-11700-4
3883. Hybrid deep learning models for daily river discharge prediction: lead-time performance analysis in Mymensingh, Bangladesh M. Islam et al. https://doi.org/10.2166/wpt.2025.184
3884. Satellite-based phenology products and in-situ pollen dynamics: A comparative assessment L. Li et al. https://doi.org/10.1016/j.envres.2021.111937
3885. Predicting Ili River streamflow change and identifying the major drivers with a novel hybrid model S. Liu et al. https://doi.org/10.1016/j.ejrh.2024.101807
3886. Quantifying long-term variability of precipitation and temperature over Zambia B. Libanda et al. https://doi.org/10.1016/j.jastp.2020.105201
3887. Comparative analysis of photovoltaic system technologies using advanced Machine Learning algorithms M. Ezzini et al. https://doi.org/10.1088/1402-4896/ae5359
3888. Towards improved agricultural water accounting: a fusion method for regional pond water storage assessment Q. Wang et al. https://doi.org/10.2166/wcc.2026.460
3889. Dominant Factor Analysis and Threshold Inflection Point Determination in Deep Learning-Based SWAT-LSTM Training Models with SHAP Interpretability Analysis J. Tian et al. https://doi.org/10.3390/w18080960
3890. Effect of bypass duct size on the opening pressure of fire doors in an escape tunnel K. Zhong et al. https://doi.org/10.1016/j.tust.2025.107139
3891. A Diffusion-based Deep Learning Approach for the Super-resolution of SDO/HMI Magnetograms Using Hinode/SOT Data C. Sun et al. https://doi.org/10.3847/1538-4357/ae8262
3892. Airfield Incursion Modeling of United States Hub Airports B. Claros et al. https://doi.org/10.2514/1.D0044
3893. The drift handling framework for open radio access networks: An experimental evaluation V. Gudepu et al. https://doi.org/10.1016/j.comnet.2024.110290
3894. High-resolution root-zone soil moisture for agricultural drought assessment using Sentinel-2 and hybrid modeling in the Lake Tana Basin, Ethiopia H. Eshetie et al. https://doi.org/10.1016/j.rsase.2026.101900
3895. Applying wavelet transformation and artificial neural networks to develop forecasting-based reservoir operating rule curves S. Ashrafi et al. https://doi.org/10.1080/02626667.2020.1784902
3896. A Rapid Scalable Embedding and Mapping Model for Recommendation S. Zhang et al. https://doi.org/10.1109/ACCESS.2020.3000894
3897. Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System N. Yang et al. https://doi.org/10.1109/TII.2021.3107406
3898. Impact of lag window configuration on next-day river water stage forecasting accuracy: comparative evaluation of six machine learning and deep learning algorithms M. Islam et al. https://doi.org/10.2166/h2oj.2026.042
3899. Influence of Thermal Pretreatment on Lignin Destabilization in Harvest Residues: An Ensemble Machine Learning Approach Đ. Kovačić et al. https://doi.org/10.3390/agriengineering6010011
3900. Assessing agreement and usability of kinematic measures between markerless and marker-based motion capture systems during jumping activities S. Kwak et al. https://doi.org/10.1016/j.jbiomech.2025.113065
3901. Mapping Dermatology Life Quality Index (DLQI) scores to EQ-5D utility scores using data of patients with atopic dermatitis from the National Health and Wellness Study A. Vilsbøll et al. https://doi.org/10.1007/s11136-020-02499-1
3902. Counting and locating high-density objects using convolutional neural network M. de Arruda et al. https://doi.org/10.1016/j.eswa.2022.116555
3903. Assessing the stability of terrestrial water storage to drought based on CMIP6 forcing scenarios W. Wei et al. https://doi.org/10.1016/j.jhydrol.2024.132232
3904. Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining algorithms and game theory Z. Ebrahimi-Khusfi et al. https://doi.org/10.1016/j.ecolind.2021.108287
3905. A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder F. Noori et al. https://doi.org/10.3390/ijgi9070456
3906. Prediction of Safety Risk Levels of Benzopyrene Residues in Edible Oils in China Based on the Variable-Weight Combined LSTM-XGBoost Prediction Model C. Hao et al. https://doi.org/10.3390/foods12112241
3907. Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC Ionospheric Models: A Comparison in Total Electron Content and Positioning Domains Y. Yasyukevich et al. https://doi.org/10.3390/s23104773
3908. Topology-regularized universal vector autoregression for traffic forecasting in large urban areas F. Schimbinschi et al. https://doi.org/10.1016/j.eswa.2017.04.015
3909. A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks Z. Sheng et al. https://doi.org/10.1109/TETCI.2023.3259434
3910. Soil total suction sensing using fiber-optic technology J. Guo et al. https://doi.org/10.1016/j.geoderma.2023.116687
3911. TRNet: A trend and residual network utilizing novel hilly attention mechanism for wind speed prediction in complex scenario P. Shi et al. https://doi.org/10.1016/j.energy.2024.133103
3912. Regionalized ensemble estimation of wave periods for assessing wave energy resources across Canada. Part I: Improved wave-period modelling methodology C. Dong et al. https://doi.org/10.1016/j.ocecoaman.2024.107382
3913. Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling A. Neill et al. https://doi.org/10.5194/hess-25-4861-2021
3914. Prediction And Analysis Of Concrete Compressive Strength By Machine Learning Methods R. Gürfidan & K. Erten https://doi.org/10.17798/bitlisfen.1816694
3915. Logistic and CSG Growth Models for Predicting Life Expectancy B. Çığşar et al. https://doi.org/10.53433/yyufbed.1432156
3916. Machine Learning Integration in Computational Fluid Dynamics for Turbulence Modeling A. Naseem et al. https://doi.org/10.59324/ejaset.2025.3(1).02
3917. Creating the Slider Tester Repair Recommendation System to Enhance the Repair Step by Using Machine Learning R. Udomsup et al. https://doi.org/10.3390/machines12090661
3918. Exploratory framework for analysing road traffic accident data with validation on Gauteng province data T. Makaba et al. https://doi.org/10.1080/23311916.2020.1834659
3919. A Systematic Study on a Customer’s Next-Items Recommendation Techniques Q. Ilyas et al. https://doi.org/10.3390/su14127175
3920. Near future flash flood prediction in an arid region under climate change G. Al-Rawas et al. https://doi.org/10.1038/s41598-024-76232-0
3921. Algorithms to mimic human interpretation of turbidity events from drinking water distribution systems K. Gleeson et al. https://doi.org/10.2166/hydro.2023.159
3922. Evaluation of Sentinel 1–derived and open-access digital elevation model products in mountainous areas of Western Ghats, India S. Devaraj & K. Yarrakula https://doi.org/10.1007/s12517-020-06108-w
3923. Vulnerability assessment of aerosol and climate variability for rice and maize yield using EO datasets for sustainable agriculture over India D. Gupta et al. https://doi.org/10.1007/s10661-024-12862-1
3924. MorphFlow: Estimating Motion in In-Situ Tests of Concrete T. Nogatz et al. https://doi.org/10.1007/s11340-024-01104-7
3925. Comparison of regression models of linear and polynomial dependencies in moisture detection technique A. Futa et al. https://doi.org/10.1088/1742-6596/2628/1/012005
3926. A theoretical model developed for predicting nail withdrawal load from wood by mechanics Y. Wang & S. Lee https://doi.org/10.1007/s00107-017-1227-2
3927. Accuracy assessment of ALOS World 3D-30m DEMs using field data from Lagos and Federal Capital Territory, Nigeria C. Okolie & I. Arungwa https://doi.org/10.1080/10106049.2022.2060320
3928. Estimating spatio-temporal air temperature in London (UK) using machine learning and earth observation satellite data R. dos Santos https://doi.org/10.1016/j.jag.2020.102066
3929. Development of a soil wetting pattern estimation model for drip irrigation Y. Li et al. https://doi.org/10.2166/ws.2022.429
3930. Closure and uncertainty assessment for ocean color reflectance using measured volume scattering functions and reflective tube absorption coefficients with novel correction for scattering A. Tonizzo et al. https://doi.org/10.1364/AO.56.000130
3931. Physically Based Soap Bubble Synthesis for VR S. Yoo et al. https://doi.org/10.3390/app11073090
3932. Region-guided preprocessing and U-Net variants for improved panoramic dental radiograph segmentation N. Sogur & N. Çerçevik https://doi.org/10.1016/j.bspc.2026.110068
3933. Gene expression programming (GEP) as novel tool for thermal analysis and kinetic modeling of pyrolysis reactions: coal pyrolysis case study H. Najafi et al. https://doi.org/10.1108/EC-04-2023-0153
3934. Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners I. Zeng et al. https://doi.org/10.3390/en14237915
3935. Dynamic Bayesian Modeling of Carbon-Adjusted Costs and Supply Chain Risks for Sustainable Investment in Power Grid Technical Renovation Projects M. Song et al. https://doi.org/10.3390/math14111921
3936. A Hybrid DDMRP-OUTL Inventory Policy with Defect Prediction for Resilient Supply Chains E. Rosyida et al. https://doi.org/10.25077/josi.v25.n1.p63-93.2026
3937. Machine learning approach for forest biomass modelling with in-situ and remote sensing data in Narmadapuram central India P. Rajput https://doi.org/10.1007/s40808-025-02527-4
3938. Advanced Predictive Structural Health Monitoring in High-Rise Buildings Using Recurrent Neural Networks A. Ghaffari et al. https://doi.org/10.3390/buildings14103261
3939. Predicting Soil Particulate Organic Mattter Using Artificial Neural Network with Wavelet Function P. Baligh et al. https://doi.org/10.1080/00103624.2020.1808012
3940. Identifying the impact of land use land cover change on streamflow and nitrate load following modeling approach: a case study in the upstream Dong Nai River basin, Vietnam T. Le et al. https://doi.org/10.1007/s11356-023-26887-5
3941. A Deep Learning-based Approach to Predict the Flood Patterns Using Sentinel-1A Time Series Images M. Siddique et al. https://doi.org/10.1007/s12524-024-02016-8
3942. Multi-Objective Co-Optimization of Parameters for Sub-Models of Grain and Leaf Growth in Dryland Wheat via the DREAM-zs Algorithm H. Zhu et al. https://doi.org/10.3390/agriculture16010107
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