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1341. Spatial Modeling of Potential Lobster Harvest Grounds in Palabuhanratu Bay, West Java, Indonesia M. Mukhtar et al. https://doi.org/10.3390/fishes6020016
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1480. 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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1485. Evaluation of GRACE and GRACE-FO derived-products for water storage assessment in Moroccan aquifers: analysis of drought and human-induced impacts M. Abbad et al. https://doi.org/10.1080/10106049.2025.2521829
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1487. Makine Öğrenmesi Modelleri ile Lamine Ahşap Kirişlerin Eğilme Dayanımı (MOR) Değerlerinin Tahmini İ. Kılıç et al. https://doi.org/10.70700/bjea.1816397
1488. Wheat yield prediction for sustainable food security using Sentinel-2 and machine learning N. Civelek et al. https://doi.org/10.51489/tuzal.1760511
1489. 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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1492. 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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1494. 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
1495. 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
1496. 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
1497. 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
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1767. Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data T. Mari et al. https://doi.org/10.1016/j.jpain.2021.07.011
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1773. Ethanol production from different medium compositions of rice husk hydrolysate by using Scheffersomyces stipitis in a repeated-batch biofilm reactor and its modeling N. Bader et al. https://doi.org/10.1016/j.procbio.2020.09.018
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1776. Prediction of Air Quality Index (AQI) using machine learning-based tree models—a case study of Gurugram City, India A. Kumar et al. https://doi.org/10.1007/s00704-025-05535-7
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1783. Drivers of Live Cattle Price in the Livestock Trading System of Central Cameroon P. Motta et al. https://doi.org/10.3389/fvets.2017.00244
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1785. 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
1786. 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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1792. Cumulative offset analysis of the Central-Southern Yangsan Fault based on topography of Quaternary fluvial terrace N. Kim et al. https://doi.org/10.14770/jgsk.2020.56.2.135
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1795. 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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1804. High-Resolution Downscaling of GRACE-Derived Groundwater Storage Anomalies using Stacking Ensemble Machine Learning in the Data-Scarce Tropical Catchments S. Karunarathna et al. https://doi.org/10.1007/s41748-026-01022-9
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1807. Revisiting the future changes in precipitation extremes over the Eastern Tibetan Plateau: from the thermodynamic–dynamic processes to model uncertainty K. Wang et al. https://doi.org/10.1007/s00382-025-07620-z
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1810. 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
1811. 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
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1814. 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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2128. Which Climate Model Evaluation Methods Can Consistently Select Skillful Models from the CMIP6 Ensemble? N. Gnatiuk et al. https://doi.org/10.24057/2071-9388-2025-3694
2129. Improved Simultaneous Algebraic Reconstruction Technique Algorithm for Positron-Emission Tomography Image Reconstruction via Minimizing the Fast Total Variation A. Boudjelal et al. https://doi.org/10.1016/j.jmir.2017.09.005
2130. Pedestrian-Oriented Microclimate Optimization for Urban Plazas: Integrating Movement Patterns with Thermal Comfort Simulation H. Huang et al. https://doi.org/10.3390/buildings16101874
2131. Relaxation factor optimization based on cuckoo search algorithm for limited – Angle CT A. Gomeri et al. https://doi.org/10.1016/j.bspc.2021.103067
2132. Forecasting short-term rainfall patterns in arid and semi-arid regions using machine learning and deep learning models: a case study from Morocco A. Elmotawakkil et al. https://doi.org/10.1007/s00704-025-05677-8
2133. Bayesian-Optimized Learning on Heterogeneous Multipartite Graphs: A Framework for Multi-Level Relational Data T. Koç et al. https://doi.org/10.3390/sym17122082
2134. Antimicrobial resistance trends in Escherichia coli isolated from diseased food‐producing animals in France: A 14‐year period time‐series study C. Boireau et al. https://doi.org/10.1111/zph.12412
2135. Demographic Factors Affecting Fuzzy Grading: A Hierarchical Linear Regression Analysis D. Doz et al. https://doi.org/10.3390/math11061488
2136. ChainImputer: A Neural Network-Based Iterative Imputation Method Using Cumulative Features W. Seo et al. https://doi.org/10.3390/sym17060869
2137. Soft-computing techniques for prediction of soils consolidation coefficient M. Nguyen et al. https://doi.org/10.1016/j.catena.2020.104802
2138. Accuracy of an Ultra-Wideband-Based Tracking System for Time–Motion Analysis in Tennis W. Yang et al. https://doi.org/10.3390/s25041031
2139. Adversarial Learning for Coordinate Regression Through k-Layer Penetrating Representation M. Jiang et al. https://doi.org/10.1109/TDSC.2024.3376437
2140. Analytical approaches for studying the stability of laminated roof strata M. Shabanimashcool & C. Li https://doi.org/10.1016/j.ijrmms.2015.06.007
2141. Machine Learning Analysis of Effect of Aggregate Properties on Drying Shrinkage in Concrete Y. OKAZAKI et al. https://doi.org/10.3151/crt.34.37
2142. Applying Machine Learning to Estimate the Effort and Duration of Individual Tasks in Software Projects A. Sousa et al. https://doi.org/10.1109/ACCESS.2023.3307310
2143. Modified-BRISQUE as no reference image quality assessment for structural MR images L. Chow & H. Rajagopal https://doi.org/10.1016/j.mri.2017.07.016
2144. A robust model structure selection method for small sample size and multiple datasets problems Y. Gu & H. Wei https://doi.org/10.1016/j.ins.2018.04.007
2145. Research on the Modality Transfer Method of Brain Imaging Based on Generative Adversarial Network D. Cheng et al. https://doi.org/10.3389/fnins.2021.655019
2146. Sensitivity and optimization analysis of pillar arrangement on the thermal–hydraulic performance of vapor chamber S. Zhu & Y. Li https://doi.org/10.1016/j.applthermaleng.2023.122246
2147. Predicting Soil Quality Index with a Deep Regression Approach Ş. Işık et al. https://doi.org/10.1080/00103624.2024.2305838
2148. Maize [Zea Mays (L.)] crop-nutrient response functions extrapolation for Sub-Saharan Africa G. Tesfahunegn & C. Wortmann https://doi.org/10.1007/s10705-017-9887-1
2149. Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review M. Khalil et al. https://doi.org/10.1016/j.engappai.2022.105287
2150. A Sequential Ensemble Model for Communicable Disease Forecasting N. Sultana et al. https://doi.org/10.2174/1574893614666191202153824
2151. Impacts of irrigated agricultural land expansion on groundwater security in Mithapukur Upazila, Bangladesh M. Monir & S. Akhter https://doi.org/10.63697/jeshs.2026.10070
2152. Artificial Vector Calibration Method for Differencing Magnetic Gradient Tensor Systems Q. Li et al. https://doi.org/10.3390/s18020361
2153. A 100 m population grid in the CONUS by disaggregating census data with open-source Microsoft building footprints X. Huang et al. https://doi.org/10.1080/20964471.2020.1776200
2154. Natural Language Processing in the Nuclear Industry: Opportunities and Challenges Y. Fayyaz et al. https://doi.org/10.1080/00295450.2025.2481358
2155. Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam Z. Lyu et al. https://doi.org/10.3390/ma15041477
2156. IoT Data Imputation Accuracy Enhancement: A Spatiotemporal Causal Mamba-Diffusion Imputation Model X. Tian et al. https://doi.org/10.1109/JIOT.2025.3590470
2157. 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
2158. 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
2159. Runout of rainfall-induced landslides in Malaysia K. Sim et al. https://doi.org/10.1007/s10669-025-10036-z
2160. 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
2161. Research on Effectiveness Evaluation Method of Vehicle Speed Prediction in Predictive Energy Management C. Sun et al. https://doi.org/10.3390/en19020325
2162. 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
2163. 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
2164. 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
2165. 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
2166. 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
2167. 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
2168. 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
2169. 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
2170. 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
2171. 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
2172. 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
2173. 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
2174. 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
2175. Assessment and Calibration of ERA5 Severe Winds in the Atlantic Ocean Using Satellite Data R. Campos et al. https://doi.org/10.3390/rs14194918
2176. 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
2177. Long-Term Traffic Flow Prediction for Highways Based on STLLformer Model Y. Shen et al. https://doi.org/10.3390/su172210078
2178. Assessing the Impact of Spatial Resolution and Aggregation Method on Sentinel-2 NDVI Time Series in Grasslands of Mainland Spain T. Pugni-Stanek et al. https://doi.org/10.3390/rs18152611
2179. Inductive reasoning for significant concept and pattern discovery in cognitive IoT V. Jha & P. Tripathi https://doi.org/10.1007/s11761-024-00416-9
2180. Optical design and coating optimization of the Wolter-I X-ray telescope Y. Geng et al. https://doi.org/10.1364/AO.533818
2181. 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
2182. 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
2183. A Two-Parameter Model for Water-Lubricated Pipeline Transportation of Unconventional Crudes S. Rushd et al. https://doi.org/10.3390/en14185665
2184. 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
2185. 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
2186. 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
2187. 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
2188. Transformer-Based hyperspectral image analysis for phenotyping drought tolerance in blueberries M. Rahman et al. https://doi.org/10.1016/j.compag.2024.109684
2189. 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
2190. 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
2191. 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
2192. 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
2193. 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
2194. Data-driven analysis of CO2 loading behavior in aqueous diisopropanolamine-based amine blends M. Dehbani et al. https://doi.org/10.1016/j.dche.2026.100338
2195. 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
2196. 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
2197. 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
2198. QMe14S: A Comprehensive and Efficient Spectral Data Set for Small Organic Molecules M. Yuan et al. https://doi.org/10.1021/acs.jpclett.5c00839
2199. 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
2200. 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
2201. SVD-based adaptive fuzzy for generalized transportation M. Aljanabi et al. https://doi.org/10.1016/j.aej.2024.03.020
2202. 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
2203. 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
2204. 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
2205. 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
2206. 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
2207. 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
2208. 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
2209. 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
2210. 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
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2212. Proposal of Bot Detection Method by Multi-Source Access Log Analysis T. Tanaka & K. Tsuda https://doi.org/10.1541/ieejeiss.141.1205
2213. Review of medical image quality assessment L. Chow & R. Paramesran https://doi.org/10.1016/j.bspc.2016.02.006
2214. 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
2215. 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
2216. 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
2217. 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
2218. Predicting Missing Values in Spatio-Temporal Remote Sensing Data F. Gerber et al. https://doi.org/10.1109/TGRS.2017.2785240
2219. 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
2220. Using an inverse surrogate model for determining building thermal characteristics L. Jowett-Lockwood & R. Evins https://doi.org/10.1080/19401493.2025.2487459
2221. 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
2222. 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
2223. Addressing Spatial Heterogeneity in the Discrete Generalized Nash Model for Flood Routing B. Yan et al. https://doi.org/10.3390/w13213133
2224. 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
2225. 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
2226. Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps S. Karalasingham et al. https://doi.org/10.3390/rs17030461
2227. Comparative Evaluation of NARX Model Training Algorithms for PM₁₀ Forecasting in Amasya, TÜRKİYE G. Özdoğan Sarıkoç https://doi.org/10.65520/erciyesfen.1911367
2228. 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
2229. Secondary iron ion contamination of water in the water supply network M. Wojtkowska & M. Potyralla https://doi.org/10.5004/dwt.2022.28970
2230. 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
2231. 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
2232. 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
2233. 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
2234. 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
2235. 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
2236. 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
2237. Explainable Machine Learning Prediction of Vehicle CO2 Emissions for Sustainable Energy and Transport D. Yuan et al. https://doi.org/10.3390/en18205408
2238. 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
2239. 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
2240. 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
2241. 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
2242. 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
2243. 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
2244. Design, Modeling, and Control of a Fully Actuated Multirotor with Multidirectional Thrusts M. Ghazali et al. https://doi.org/10.1142/S2301385026500391
2245. 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
2246. Generation of Loss Functions from Matrix-Based Binary Classification Metrics D. Han et al. https://doi.org/10.1145/3805705
2247. Analysis and Modeling of Statistical Distribution Characteristics for Multi-Aspect SAR Images R. Zhu et al. https://doi.org/10.3390/rs17071295
2248. 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
2249. 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
2250. Accounting for Local Geological Variability in Sequential Simulations—Concept and Application A. Linsel et al. https://doi.org/10.3390/ijgi9060409
2251. Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases H. Ko et al. https://doi.org/10.1155/2023/9965226
2252. Adaptive Antenna Array Control Algorithm in Radiocommunication Systems M. Wnuk https://doi.org/10.3390/a17020081
2253. 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
2254. 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
2255. 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
2256. 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
2257. 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
2258. 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
2259. 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
2260. 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
2261. 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
2262. 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
2263. 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
2264. 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
2265. 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
2266. 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
2267. Monitoring, Diffusion and Source Speculation Model of Urban Soil Pollution Z. Li et al. https://doi.org/10.3390/pr8111339
2268. 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
2269. 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
2270. 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
2271. 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
2272. Machine learning approaches for enhanced estimation of reference evapotranspiration (ETo): a comparative evaluation A. Farag https://doi.org/10.1038/s41598-025-23166-w
2273. 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
2274. 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
2275. 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
2276. The Capabilities of WRF in Simulating Extreme Rainfall over the Mahalapye District of Botswana K. Monaka et al. https://doi.org/10.3390/atmos17020135
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2736. RapidEELS: machine learning for denoising and classification in rapid acquisition electron energy loss spectroscopy C. Pate et al. https://doi.org/10.1038/s41598-021-97668-8
2737. Comparison between Three Registration Methods in the Case of Non-Georeferenced Close Range of Multispectral Images C. Fernández et al. https://doi.org/10.3390/rs13030396
2738. Meteorological influence on forecasting urban pollutants: Long-term predictability versus extreme events in a spatially heterogeneous urban ecosystem G. Ulpiani et al. https://doi.org/10.1016/j.scitotenv.2021.152537
2739. Predicting Regional Outbreaks of Hepatitis A Using 3D LSTM and Open Data in Korea K. Lee et al. https://doi.org/10.3390/electronics10212668
2740. RETRACTED ARTICLE: Imputation of missing precipitation data using KNN, SOM, RF, and FNN A. Sahoo & D. Ghose https://doi.org/10.1007/s00500-022-07029-4
2741. Symbolic regression-aided hyperparameter relationship for developing ANN for fragility prediction M. Parvizi et al. https://doi.org/10.1016/j.asoc.2025.113485
2742. Temperature: A key parameter on soil content reduction simulation in recycled asphalt aggregate M. Borges Cabrera et al. https://doi.org/10.1016/j.jclepro.2020.121236
2743. Case study of the prediction of elective surgery durations in a New Zealand teaching hospital K. Soh et al. https://doi.org/10.1002/hpm.3046
2744. Analysis of sampling precision in low-density weed populations P. Hamouz & K. Hamouzová https://doi.org/10.1007/s11119-021-09851-6
2745. Spatiotemporal SWMM-LSTM surrogate modeling for efficient node-level water depth and inflow prediction in urban drainage networks N. Zafarmomen et al. https://doi.org/10.1017/wat.2026.10013
2746. Hydrodynamic and ecological 3D modeling in tropical lakes L. Amorim et al. https://doi.org/10.1007/s42452-021-04272-6
2747. Assessment of aerosol optical properties using remote sensing over highly urbanised twin cities of Pakistan M. Awais et al. https://doi.org/10.1016/j.jastp.2018.04.008
2748. Performance degradation trend prediction of proton exchange membrane fuel cell based on GA-TCN Z. Zhao et al. https://doi.org/10.1088/1361-6501/ad3ea4
2749. Design and Evaluation of Multi-Agent Architectures for Stock Price Prediction: A Vietnam Case Study D. Nguyen Minh & D. Huu https://doi.org/10.1109/ACCESS.2026.3704951
2750. Combined pharmacophore modeling, 3D-QSAR and docking studies to identify novel HDAC inhibitors using drug repurposing J. Liu et al. https://doi.org/10.1080/07391102.2019.1590241
2751. Intelligent Detection of Cognitive Stress in Subway Train Operators Using Multimodal Electrophysiological and Behavioral Signals X. Yang & L. Yu https://doi.org/10.3390/sym17081298
2752. Dynamic Predictive Model for Growth of Bacillus cereus from Spores in Cooked Beans V. Juneja et al. https://doi.org/10.4315/0362-028X.JFP-17-391
2753. A Scenario-Based Model Comparison for Short-Term Day-Ahead Electricity Prices in Times of Economic and Political Tension D. Baskan et al. https://doi.org/10.3390/a16040177
2754. Forecasting monthly rainfall and temperature patterns in Van Province, Türkiye, using ARIMA and SARIMA models: a long-term climate analysis V. Yavuz https://doi.org/10.2166/wcc.2025.798
2755. Real-time earthquake magnitude estimation via a deep learning network based on waveform and text mixed modal B. Hou et al. https://doi.org/10.1186/s40623-024-02005-8
2756. Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials M. İnce & H. Varol Özkavak https://doi.org/10.3390/app15147997
2757. Strength of a cement-improved clay and a machine learning evaluation of interactions between observed mechanical behaviours H. Shiferaw et al. https://doi.org/10.1016/j.gsf.2026.102293
2758. Using Machine Learning Algorithms to Forecast the Sap Flow of Cherry Tomatoes in a Greenhouse A. Amir et al. https://doi.org/10.1109/ACCESS.2021.3127453
2759. Riesz fractional order derivative in Fractional Fourier Transform domain: An insight K. Kaur et al. https://doi.org/10.1016/j.dsp.2019.07.007
2760. Molecular pretraining models towards molecular property prediction J. Qiao et al. https://doi.org/10.1007/s11432-024-4457-2
2761. Nominal elastic modulus assessment in 3D-printed components under varying printing parameters using Bayesian methods and random forest surrogate modeling J. Zhang et al. https://doi.org/10.1371/journal.pone.0338204
2762. Influence of water quality, local knowledge and river–floodplain connectivity on commercial wild crayfish harvesting in the Atchafalaya River Basin I. Vargas‐Lopez et al. https://doi.org/10.1111/fme.12422
2763. EVDHM-ARIMA-Based Time Series Forecasting Model and Its Application for COVID-19 Cases R. Sharma et al. https://doi.org/10.1109/TIM.2020.3041833
2764. Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors Z. Yang & W. Gao https://doi.org/10.1002/advs.202106043
2765. Estimating GDP by Fusing Nighttime Light and Land Cover Data N. Xu et al. https://doi.org/10.1080/07038992.2024.2377641
2766. A maintenance-aware machine learning framework for network-level highway pavement condition prediction J. Kim et al. https://doi.org/10.1016/j.cacaie.2026.100091
2767. Hybrid Fuzzy Expert System and Difference Equation Software Filter for Biomedical Sensors A. Golcuk https://doi.org/10.1109/TIM.2022.3197803
2768. Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning I. Ebtehaj et al. https://doi.org/10.3390/su13148009
2769. Considering spatial heterogeneity in modeling taxi speeding frequency: An advanced geographically weighted negative binomial regression approach L. Qu et al. https://doi.org/10.1016/j.aap.2025.108356
2770. Extracting High-Precision Vehicle Motion Data from Unmanned Aerial Vehicle Video Captured under Various Weather Conditions X. Li & J. Wu https://doi.org/10.3390/rs14215513
2771. 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
2772. 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
2773. 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
2774. 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
2775. TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms M. Patrick et al. https://doi.org/10.1051/matecconf/20178701006
2776. 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
2777. 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
2778. 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
2779. 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
2780. 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
2781. 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
2782. Numerical and Experimental Study on the Heat Dissipation Performance of a Novel System C. Yu et al. https://doi.org/10.3390/en13010106
2783. 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
2784. Forest optimal rotation and valuation under different stochastic prices Z. Yu et al. https://doi.org/10.1007/s10342-025-01847-5
2785. 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
2786. 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
2787. 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
2788. 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
2789. A physics-guided multi-task framework for joint forecasting of heating load and return temperatures at building-side district heating substations Z. Zhang et al. https://doi.org/10.1016/j.buildenv.2026.115090
2790. 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
2791. 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
2792. Future precipitation patterns: investigating the IDF curve shifts under CMIP6 pathways M. Khan et al. https://doi.org/10.2166/hydro.2025.092
2793. 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
2794. 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
2795. A radiative cooling enhanced liquid desiccant-based atmospheric water harvesting device F. Xiao et al. https://doi.org/10.1016/j.energy.2026.140730
2796. 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
2797. 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
2798. Foreign arrivals nowcasting in Italy with Google Trends data F. Antolini & L. Grassini https://doi.org/10.1007/s11135-018-0748-z
2799. 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
2800. Influent Forecasting for Wastewater Treatment Plants in North America G. Boyd et al. https://doi.org/10.3390/su11061764
2801. 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
2802. 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
2803. 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
2804. 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
2805. 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
2806. 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
2807. Hybrid machine learning model for prediction of vertical deflection of composite bridges H. Ha et al. https://doi.org/10.1680/jbren.23.00007
2808. 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
2809. 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
2810. 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
2811. 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
2812. 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
2813. Forecasting Bitcoin Prices Using Deep Learning for Consumer-Centric Industrial Applications P. Roy et al. https://doi.org/10.1109/TCE.2023.3321653
2814. Thermal improvement of urban squares under spatial and functional constraints C. Wang et al. https://doi.org/10.1016/j.buildenv.2026.115053
2815. 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
2816. 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
2817. 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
2818. 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
2819. 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
2820. CCR: Facial Image Editing with Continuity, Consistency and Reversibility N. Yang et al. https://doi.org/10.1007/s11263-023-01938-z
2821. Extreme Atlantic Hurricane Probability of Occurrence Through the Metastatistical Extreme Value Distribution S. Hosseini et al. https://doi.org/10.1029/2019GL086138
2822. 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
2823. 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
2824. 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
2825. 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
2826. 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
2827. 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
2828. 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
2829. Nonintrusive Load Monitoring Using Recurrent Neural Networks with Occupants Location Information in Residential Buildings M. Lee & H. Moon https://doi.org/10.3390/en16093688
2830. 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
2831. 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
2832. 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
2833. 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
2834. 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
2835. 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
2836. 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
2837. An Analysis of Disability Groupings and Transition Planning Experiences E. Davenport et al. https://doi.org/10.1177/00224669211024593
2838. 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
2839. 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
2840. 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
2841. 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
2842. A Comparative Assessment of Conventional and Artificial Neural Networks Methods for Electricity Outage Forecasting A. Onaolapo et al. https://doi.org/10.3390/en15020511
2843. Comparative Study on the Different Downscaling Methods for GPM Products in Complex Terrain Areas J. Liu et al. https://doi.org/10.3390/earth6040129
2844. 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
2845. A network-based discrete choice model for decision-based design Z. Sha et al. https://doi.org/10.1017/dsj.2023.4
2846. 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
2847. 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
2848. Storm Time Total Electron Content Modeling Over African Low‐Latitude and Midlatitude Regions J. Uwamahoro et al. https://doi.org/10.1029/2018JA025455
2849. 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
2850. 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
2851. Cross-Corpus Readability Compatibility Assessment for English Texts Z. Li et al. https://doi.org/10.1109/ACCESS.2023.3315834
2852. 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
2853. 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
2854. 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
2855. 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
2856. Machine Learning-Based Prediction of Tribological Properties of Epoxy Composite Coating H. Yan et al. https://doi.org/10.3390/polym17030282
2857. 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
2858. A Robust and Lightweight Loop Closure Detection Approach for Challenging Environments Y. Shi et al. https://doi.org/10.3390/drones8070322
2859. 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
2860. 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
2861. 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
2862. 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
2863. 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
2864. 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
2865. 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
2866. 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
2867. 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
2868. AutoML-Based Prediction of Process Outcomes in Expanded Polypropylene Autoclave Foaming E. Erkan https://doi.org/10.3390/machines14070797
2869. 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
2870. Predicting Soil Properties Using Topographic and Climatic Variables İ. YENER et al. https://doi.org/10.17475/kastorman.1049347
2871. 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
2872. 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
2873. 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
2874. 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
2875. 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
2876. Forecasting Inflation From Disaggregated Data W. Martínez‐Rivera et al. https://doi.org/10.1002/asmb.70023
2877. 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
2878. 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
2879. 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
2880. 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
2881. 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
2882. 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
2883. 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
2884. 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
2885. 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
2886. 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
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3037. Can high resolution UAV-derived weed maps replace camera-based targeted spray application? M. Adhikari et al. https://doi.org/10.3389/fagro.2026.1817915
3038. Evaluation of Four Methods for Predicting Carbon Stocks of Korean Pine Plantations in Heilongjiang Province, China H. Gao et al. https://doi.org/10.1371/journal.pone.0145017
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3040. A deep learning approach for assessing environmental stress dynamics in the Makkah watersheds, Saudi Arabia A. Al-Huqail & Z. Islam https://doi.org/10.3389/fenvs.2026.1723462
3041. Estimating Location-Adjustment Factors for Conceptual Cost Estimating Based on Nighttime Light Satellite Imagery S. Zhang et al. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001216
3042. A Comprehensive Case Study of Wind Energy Production Forecasting in Türkiye Using Enhanced Attention BiLSTM M. Çeçen et al. https://doi.org/10.1002/we.70114
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3045. Measuring Detection of Signature On Enterprise Computer Network S. Alviana & I. Sumitra https://doi.org/10.1088/1757-899X/662/5/052008
3046. An empirical-based rainfall-runoff modelling using optimization technique B. Roy & M. Singh https://doi.org/10.1080/15715124.2019.1680557
3047. A Near-Real-Time Model for Predicting Electricity Disruptions in Texas During Winter Storms J. Lee et al. https://doi.org/10.1109/ACCESS.2025.3596531
3048. Deep Feature Selection of Meteorological Variables for LSTM-Based PV Power Forecasting in High-Dimensional Time-Series Data H. Mauladdawilah et al. https://doi.org/10.3390/a18080496
3049. Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction S. Ghimire et al. https://doi.org/10.1007/s12559-022-10070-y
3050. Evaluation of different gridded precipitation products for drought monitoring: a case study of Central India M. Kesarwani et al. https://doi.org/10.1007/s00704-022-04304-0
3051. Long Short-Term Memory Based Subsurface Drainage Control for Rainfall-Induced Landslide Prevention A. Biniyaz et al. https://doi.org/10.3390/geosciences12020064
3052. 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-16-3-8
3053. Estimation of actual evapotranspiration and stage-wise crop coefficients for transplanted rice using a modified non-weighing paddy lysimeter and their prediction on machine ensemble approach in the middle Indo-Gangetic plains of South Asia A. Kumari et al. https://doi.org/10.1007/s10668-025-06878-x
3054. AutoReserve: A Web-Based Tool for Personal Auto Insurance Loss Reserving with Classical and Machine Learning Methods L. Xiong et al. https://doi.org/10.3390/risks11070131
3055. Development of a Numerical Prediction Model for Marine Lower Atmospheric Ducts and Its Evaluation across the South China Sea Q. Liu et al. https://doi.org/10.3390/jmse12010141
3056. Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings H. Hosamo & S. Mazzetto https://doi.org/10.3390/buildings15010039
3057. Assessment of droughts through SPEI and SPI indices in arid and semi-arid watersheds of San Luis Potosí, México V. Escamilla-Rivera et al. https://doi.org/10.24850/j-tyca-18-02-08
3058. Design and Comparison of Parallel Dynamic Matérn Kernel-Based Regression Models and Machine Learning Approaches: Application to Bias Correction in Numerical Weather Prediction V. Migallón et al. https://doi.org/10.1007/s42967-025-00490-6
3059. An AI-Empowered Framework for Cross-Layer Softwarized Infrastructure State Assessment A. Diamanti et al. https://doi.org/10.1109/TNSM.2022.3161872
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3061. Nitrogen dioxide (NO2) Meteorology and predictability for air quality management using TROPOMI P. Asilevi et al. https://doi.org/10.1038/s44407-024-00003-4
3062. A fuzzy model for generalized transportation problems in China M. Aljanabi et al. https://doi.org/10.1002/cpe.8126
3063. A reliability-based multidisciplinary design parallel optimization method based on double-layer approximation model for nuclear fuel assembly bottom nozzle C. Wan et al. https://doi.org/10.1016/j.pnucene.2024.105292
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3065. Theoretical characterization of annular array as a volumetric optoacoustic ultrasound handheld probe M. Kalkhoran & D. Vray https://doi.org/10.1117/1.JBO.23.2.025004
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3067. Smart Electricity Meter Load Prediction in Dubai Using MLR, ANN, RF, and ARIMA H. Sayed et al. https://doi.org/10.3390/electronics12020389
3068. Dual-View Prompting for Cloud Removal Y. Deng et al. https://doi.org/10.1109/TGRS.2025.3614865
3069. Reliability Assessment of Empirical Equations, ANN and MARS Models for Predicting the Mode I Fracture Toughness from Non-destructive Rock Properties A. Lawal & S. Kwon https://doi.org/10.1007/s00603-023-03345-9
3070. Numeric promoter description – A comparative view on concepts and general application R. Beier & D. Labudde https://doi.org/10.1016/j.jmgm.2015.11.011
3071. Drought Projections in the Northernmost Region of South America Under Different Climate Change Scenarios H. Arregocés et al. https://doi.org/10.3390/earth6040122
3072. Artificial Intelligence (AI) Use in Data Analysis: A Comparison of ChatGPT and SmartPLS Outputs in PLS-SEM Analysis Y. Toraman & O. Şimşek https://doi.org/10.2339/politeknik.1739414
3073. 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
3074. 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
3075. Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces S. Ringdahl et al. https://doi.org/10.3390/coatings11010033
3076. 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
3077. 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
3078. Artificial intelligence algorithms to predict Italian real estate market prices L. Rampini & F. Re Cecconi https://doi.org/10.1108/JPIF-08-2021-0073
3079. 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
3080. 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
3081. 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
3082. 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
3083. Supervised learning-based artificial senses for non-destructive fish quality classification R. Saeed et al. https://doi.org/10.1016/j.bios.2024.116770
3084. Multi-Pattern Scanning Mamba for Cloud Removal X. Xin et al. https://doi.org/10.3390/rs17213593
3085. 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
3086. 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
3087. 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
3088. Predicting tilling and seeding operation times in grain production: A comparison of machine learning and mechanistic models L. Scheurer et al. https://doi.org/10.1016/j.atech.2025.101043
3089. 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
3090. 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
3091. Clustering-based spatial transfer learning for short-term ozone forecasting T. Deng et al. https://doi.org/10.1016/j.hazadv.2022.100168
3092. 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
3093. 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
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3095. 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
3096. Relative Radiometric Normalization for the PlanetScope Nanosatellite Constellation Based on Sentinel-2 Images R. Dias et al. https://doi.org/10.3390/rs16214047
3097. 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
3098. 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
3099. 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
3100. 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
3101. AI-Based Model Order Reduction Techniques: A Survey S. Mallick & M. Mittal https://doi.org/10.1007/s11831-024-10207-2
3102. 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
3103. 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
3104. Simulation Analysis of Magnetic Gradient Full-Tensor Measurement System L. Xu et al. https://doi.org/10.1155/2021/6688364
3105. Forecasting nonperforming loans using machine learning M. Abdullah et al. https://doi.org/10.1002/for.2977
3106. 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
3107. Characterization of a Spiking Convolutional Processor for FPGA D. Curra-Sosa et al. https://doi.org/10.3390/s26061801
3108. 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
3109. 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
3110. 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
3111. Harnessing artificial neural networks for coastal erosion prediction: A systematic review A. Khan et al. https://doi.org/10.1016/j.marpol.2025.106704
3112. 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
3113. 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
3114. Accelerated design for elastocaloric performance in NiTi-based alloys through machine learning X. Tian et al. https://doi.org/10.1063/5.0068290
3115. 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
3116. 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
3117. 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
3118. 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
3119. Enhancing Safety Risk Management with Quantitative Measures B. Claros et al. https://doi.org/10.3141/2603-01
3120. 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
3121. Analog Design and Machine Learning: A Review K. Liakos & F. Plessas https://doi.org/10.3390/electronics14173541
3122. 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
3123. 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
3124. 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
3125. 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
3126. Image-Based Assessment of External Quality Traits in Chinese Bayberry (Myrica rubra) Using a Deep Learning Detection and Multi-Trait Scoring Framework M. Wang et al. https://doi.org/10.3390/foods15162852
3127. Prediction Uncertainty of Density Functional Approximations for Properties of Crystals with Cubic Symmetry P. Pernot et al. https://doi.org/10.1021/jp509980w
3128. 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
3129. 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
3130. Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects K. Jusseaume & I. Valova https://doi.org/10.3390/s22218112
3131. 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
3132. 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
3133. 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
3134. 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
3135. 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
3136. Prediction of Cooling Load of Tropical Buildings with Machine Learning G. Bekdaş et al. https://doi.org/10.3390/su15119061
3137. 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
3138. 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
3139. 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
3140. Quantification of river total phosphorus using integrative artificial intelligence models S. Kim et al. https://doi.org/10.1016/j.ecolind.2023.110437
3141. Skill of CMIP5 models in simulating rainfall over Malawi B. Libanda & N. Nkolola https://doi.org/10.1007/s40808-019-00611-0
3142. 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
3143. 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
3144. 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
3145. 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
3146. 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
3147. Dynamic Production Order Allocation for Distributed Additive Manufacturing I. Sousa Agostino et al. https://doi.org/10.1016/j.ifacol.2020.12.2832
3148. Machine learning to predict refractory corrosion during nuclear waste vitrification N. Smith-Gray et al. https://doi.org/10.1557/s43580-021-00031-2
3149. 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
3150. 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
3151. Towards robust smart data-driven soil erodibility index prediction under different scenarios A. Shirzadi et al. https://doi.org/10.1080/10106049.2022.2076918
3152. 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
3153. 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
3154. 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
3155. 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
3156. 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
3157. 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
3158. 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
3159. Seismically Induced Liquefaction Potential Assessment by Different Artificial Intelligence Procedures D. Kumar et al. https://doi.org/10.1007/s40515-023-00327-w
3160. 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
3161. 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
3162. 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
3163. 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
3164. 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
3165. 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
3166. Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete D. Dao et al. https://doi.org/10.3390/ma12060983
3167. Handling Missing Values Based on Similarity Classifiers and Fuzzy Entropy Measures F. Karim et al. https://doi.org/10.3390/electronics11233929
3168. 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
3169. 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
3170. 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
3171. 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
3172. 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
3173. 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
3174. CO2 Emisyonu ve Birincil Enerji Tüketimi Arasındaki İlişkinin Kantil Regresyon Modeli ile İncelenmesi H. AKYÜZ https://doi.org/10.29130/dubited.1076185
3175. 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
3176. 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
3177. 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
3178. Comparison of growth curve models for Ongole Grade cattle Y. Adinata et al. https://doi.org/10.1007/s11250-022-03254-z
3179. 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
3180. 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
3181. Time Series Prediction Based on Multi-Scale Feature Extraction R. Zhang & Y. Hao https://doi.org/10.3390/math12070973
3182. 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
3183. 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
3184. 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
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3186. 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
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3339. Remote Sensing-Based Leaf Area Index Estimation of Spring Wheat Through Machine-Learning Approaches P. Prakash et al. https://doi.org/10.1007/s12524-025-02347-0
3340. 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
3341. Ensemble of steerable local neighbourhood grey-level information for binarization F. Kasmin et al. https://doi.org/10.1016/j.patrec.2017.07.014
3342. 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
3343. Population changes and growth modeling of Salmonella enterica during alfalfa seed germination and early sprout development W. Kim et al. https://doi.org/10.1007/s10068-018-0412-3
3344. Estimating runtime of a job in Hadoop MapReduce N. Peyravi & A. Moeini https://doi.org/10.1186/s40537-020-00319-4
3345. 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
3346. 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
3347. Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values S. Reddy et al. https://doi.org/10.1029/2022JA031183
3348. Constraining a density-dependent flow model with the transient electromagnetic method in a coastal aquifer in Mexico to assess seawater intrusion J. Torres-Martinez et al. https://doi.org/10.1007/s10040-019-02024-w
3349. Monte Carlo Dropout Neural Networks for Forecasting Sinusoidal Time Series: Performance Evaluation and Uncertainty Quantification U. Kummaraka & P. Srisuradetchai https://doi.org/10.3390/app15084363
3350. Forecast and analysis of fluctuating China containerized freight index: from the perspective of EEMD-LSTM modeling F. Wenwen et al. https://doi.org/10.1080/03088839.2025.2605989
3351. CR-former: Single-Image Cloud Removal With Focused Taylor Attention Y. Wu et al. https://doi.org/10.1109/TGRS.2024.3506780
3352. 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
3353. Interpretable Machine Learning for Monthly Mean Air Temperature Modeling Under Correlated Meteorological Predictors: A Single-Station Case Study in Zonguldak, Türkiye R. Uzun Arslan et al. https://doi.org/10.3390/su18168458
3354. 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
3355. Temporal effects on glare response from daylight M. Kent et al. https://doi.org/10.1016/j.buildenv.2016.09.002
3356. 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
3357. A Transformer-Based Deep Diffusion Model for Bulk RNA-Seq Deconvolution Y. Liu et al. https://doi.org/10.3390/biology14091150
3358. Evaluating the impact of multivariate imputation by MICE in feature selection M. Mera-Gaona et al. https://doi.org/10.1371/journal.pone.0254720
3359. 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
3360. 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
3361. 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
3362. Analyzing the uncertainties between reanalysis meteorological data and ground measured meteorological data K. Ukhurebor et al. https://doi.org/10.1016/j.measurement.2020.108110
3363. 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
3364. 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
3365. 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
3366. 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
3367. A Novel Telescopic Cartesian Manipulator for Kiwifruit Harvesting with Hybrid Model–Vision Error Compensation B. Jia et al. https://doi.org/10.3390/agriculture16151673
3368. Long short-term memory for predicting daily suspended sediment concentration K. Kaveh et al. https://doi.org/10.1007/s00366-019-00921-y
3369. 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
3370. 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
3371. 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
3372. 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
3373. 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
3374. 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
3375. 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
3376. 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
3377. 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
3378. 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
3379. 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
3380. 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
3381. 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
3382. 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
3383. 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
3384. 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
3385. Integrated Hydrological Analysis of Little Akaki Watershed Using SWAT-MODFLOW, Ethiopia M. Tolera & I. Chung https://doi.org/10.3390/app11136011
3386. 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
3387. 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
3388. 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
3389. 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
3390. Machine learning and Monte Carlo simulation for hybrid shielding materials F. Eki̇nci̇ et al. https://doi.org/10.1016/j.radphyschem.2026.114361
3391. Software tooling support for atmospheric dispersion modeling of the AERMOD system A. Borges et al. https://doi.org/10.1016/j.envsoft.2026.107079
3392. 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
3393. 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
3394. 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
3395. 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
3396. 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
3397. 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
3398. 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
3399. 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
3400. 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
3401. 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
3402. 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
3403. Maize yield prediction using machine learning: a systematic literature review J. Nyengere et al. https://doi.org/10.3389/frai.2026.1735157
3404. Pattern of air pollutants and land surface temperature in Nigeria using space-time pattern mining techniques T. Waheeb et al. https://doi.org/10.1007/s00704-026-06507-1
3405. Sales Forecasting for New Products Using Homogeneity-Based Clustering and Ensemble Method S. Hwang et al. https://doi.org/10.3390/electronics14030520
3406. GRACE Downscaling and Machine Learning Models for Groundwater Prediction: A Systematic Review M. Al Nadabi et al. https://doi.org/10.3390/hydrology13050135
3407. 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
3408. 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
3409. Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm M. Su et al. https://doi.org/10.3390/en12061094
3410. 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
3411. 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
3412. 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
3413. 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
3414. 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
3415. 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
3416. 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
3417. 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
3418. 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
3419. 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
3420. 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
3421. 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
3422. 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
3423. 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
3424. 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
3425. 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
3426. 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
3427. 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
3428. Sales Prediction Based on Machine Learning Scenarios Q. Mao https://doi.org/10.54691/bcpbm.v23i.1474
3429. 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
3430. A framework to compare the performance of spatial disaggregation methods of statistical climate downscaling in South America C. Aboitiz et al. https://doi.org/10.1016/j.ejrh.2026.103834
3431. 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
3432. Thermographic images for predicting the weight of lamb cuts M. de Souza et al. https://doi.org/10.1071/AN25213
3433. From Transcripts to Insights for Recommending the Curriculum to University Students T. Mai et al. https://doi.org/10.1007/s42979-020-00332-7
3434. 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
3435. 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
3436. 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
3437. 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
3438. Building a skeleton-based 3D body model with angle sensor data Q. Wang et al. https://doi.org/10.1016/j.smhl.2020.100141
3439. 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
3440. 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
3441. 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
3442. 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
3443. 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
3444. Refining Preference-Based Recommendation with Associative Rules and Process Mining Using Correlation Distance M. Bin Ahmadon et al. https://doi.org/10.3390/bdcc7010034
3445. 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
3446. 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
3447. 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
3448. 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
3449. 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
3450. 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
3451. 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
3452. 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
3453. Prediction of Precipitation Based on Recurrent Neural Networks in Jingdezhen, Jiangxi Province, China J. Kang et al. https://doi.org/10.3390/atmos11030246
3454. 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
3455. 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
3456. 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
3457. 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
3458. 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
3459. 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
3460. 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
3461. 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
3462. Global Completion of Occupancy Maps Using Generative Models S. GUZEL & E. Uslu https://doi.org/10.5565/rev/elcvia.2162
3463. 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
3464. Using skeletal position to estimate human error rates in telemanipulator operators T. Piercy et al. https://doi.org/10.3389/frobt.2023.1287417
3465. 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
3466. 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
3467. 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
3468. Anomalous events removal for automated traffic noise maps generation R. Alsina-Pagès et al. https://doi.org/10.1016/j.apacoust.2019.03.007
3469. 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
3470. 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
3471. 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
3472. 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
3473. 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
3474. Comparing minimalist and comprehensive IMU-based approaches for monitoring horse rider posture A. Louis et al. https://doi.org/10.1177/17543371261453483
3475. Detecting Anomalies in Meteorological Data Using Support Vector Regression M. Lee et al. https://doi.org/10.1155/2018/5439256
3476. One‐ to 10‐Day Forecasts of Ionospheric Total Electron Content Using a Statistical Model J. Lean https://doi.org/10.1029/2018SW002077
3477. 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
3478. 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
3479. 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
3480. 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
3481. 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
3482. 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
3483. 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
3484. ATT-CR: Adaptive Triangular Transformer for Cloud Removal Y. Wu et al. https://doi.org/10.1109/JSTARS.2025.3596856
3485. Exploring the Influence of Climate Change on Earthen Embankments with Expansive Soil D. Ghosh et al. https://doi.org/10.3390/geosciences14020037
3486. 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
3487. 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
3488. Dynamic Compression Response and Optimization of Stretching–Bending Synergistic Lattices at High Strain Rates X. Gao & L. Long https://doi.org/10.3390/ma19050859
3489. 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
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3654. Toward Enhanced State of Charge Estimation of Lithium-ion Batteries Using Optimized Machine Learning Techniques M. Hannan et al. https://doi.org/10.1038/s41598-020-61464-7
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3669. Expressway Exit Traffic Flow Prediction for ETC and MTC Charging System Based on Entry Traffic Flows and LSTM Model Z. Chen et al. https://doi.org/10.1109/ACCESS.2021.3070625
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3678. Study of Learning Techniques for Effort Estimation in Object-Oriented Software Development S. Shukla & S. Kumar https://doi.org/10.1109/TEM.2022.3217570
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3682. Research on the Development and Application of a Deep Learning Model for Effective Management and Response to Harmful Algal Blooms J. Kim et al. https://doi.org/10.3390/w15122293
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3685. WRF‐based dynamical downscaling of ERA5 reanalysis data for High Mountain Asia: Towards a new version of the High Asia Refined analysis X. Wang et al. https://doi.org/10.1002/joc.6686
3686. Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity T. Pham et al. https://doi.org/10.1371/journal.pone.0243030
3687. Machine learning framework for forecasting air pollution: Evaluating seasonal and climatic influences in Istanbul, Turkey N. AL-Rousan et al. https://doi.org/10.1371/journal.pone.0330716
3688. Predictive model for growth of Clostridium botulinum from spores during cooling of cooked ground chicken V. Juneja et al. https://doi.org/10.1016/j.foodres.2021.110695
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3698. New method for damage detection in steel beam using time-frequency functions and machine learning H. Hooshyar et al. https://doi.org/10.1016/j.istruc.2025.109236
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3700. Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective N. Mehdiyev et al. https://doi.org/10.1007/s10479-024-05943-4
3701. Ag/TiO2-functionalized photocatalytic concrete for visible-light photocatalytic degradation of reactive black 5: Experimental optimization, mechanistic insights and machine learning modeling N. Nfor et al. https://doi.org/10.1016/j.jsamd.2026.101170
3702. Benchtop validation of a low-cost wearable triaxial accelerometer C. Silva et al. https://doi.org/10.1088/2057-1976/ae866e
3703. Accuracy of Thoracic Tape-Based Live-Weight Estimation in Minhota Calves: Effects of Age, Sex and Dam Parity F. Mata et al. https://doi.org/10.3390/ruminants6030065
3704. A stochastic differential equation approach to the analysis of the UK 2016 EU referendum polls T. Fenner et al. https://doi.org/10.1088/2399-6528/aac347
3705. Prediction of Probability of Liquefaction Using Soft Computing Techniques D. Kumar et al. https://doi.org/10.1007/s40030-022-00683-9
3706. Data-driven prediction of electrospun nanofiber diameter using machine learning: A comprehensive study and web-based tool development S. Sukpancharoen et al. https://doi.org/10.1016/j.rineng.2024.102826
3707. Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. https://doi.org/10.3390/atmos12121633
3708. Can Quantized On-Premise LLMs Flag Semantic Inflation in Employee Work Logs? A Privacy-Preserving Decision-Support Workflow S. Gao & M. Huang https://doi.org/10.1109/ACCESS.2026.3702481
3709. Robust AI-based Cobb angle measurement using dual-source X-ray radiographic datasets and pretrained CNNs L. Fraiwan & H. AbuKhalaf https://doi.org/10.1007/s10586-026-05991-4
3710. Mathematical vector framework for gravity-specific land surface curvatures calculation from triangulated irregular networks G. Hu et al. https://doi.org/10.1080/15481603.2022.2044149
3711. The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases N. Absar et al. https://doi.org/10.1016/j.idm.2021.12.005
3712. Accurate pollutant removal performance prediction of constructed wetlands using multi-source time-series data and interpretable machine learning J. Wang et al. https://doi.org/10.1016/j.jclepro.2026.148501
3713. Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods J. Vahedi et al. https://doi.org/10.3390/world5040044
3714. Climate Change and Respiratory Diseases: Relationship between SARS and Climatic Parameters and Impact of Climate Change on the Geographical Distribution of SARS in Iran G. Bahrami et al. https://doi.org/10.3390/arm90050048
3715. Predicting biochar adsorption capacity for methylene blue removal using machine learning P. Rajput et al. https://doi.org/10.1016/j.jwpe.2024.106749
3716. Comparison of TLS and SLAM technologies for 3D reconstruction of objects with different geometries A. Szrek et al. https://doi.org/10.1088/1755-1315/1295/1/012012
3717. Generalized ANN Model for Predicting the Energy Potential of Heterogeneous Waste I. Brandić et al. https://doi.org/10.3390/en18236111
3718. PERMACLIM 2.0: a Revised Model for High-Resolution Mapping of Permafrost Conditions in Mountain Regions E. Riva et al. https://doi.org/10.1007/s41651-026-00269-0
3719. Effects of the Training Data Condition on Arterial Spin Labeling Parameter Estimation Using a Simulation-Based Supervised Deep Neural Network S. Ishida et al. https://doi.org/10.1097/RCT.0000000000001566
3720. Performance-based durability assessment of nano-enhanced alccofine mortar under H2SO4 and MgSO4 exposure: response-surface analysis and kinetic modeling V. Wadki & B. B https://doi.org/10.1007/s41024-026-00866-y
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3722. Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach R. Prasad et al. https://doi.org/10.1016/j.catena.2019.02.012
3723. 大直径回转体零部件壳体局部加速器CT检测 詹. Zhan Meina et al. https://doi.org/10.3788/AOS241179
3724. Prediction of blast-induced ground vibration in dolomitic marble quarry using Z-number information and fuzzy cognitive map based neural network models S. Hosseini et al. https://doi.org/10.1016/j.rockmb.2025.100217
3725. Modèle tabulaire adaptatif de classement des outils intelligents d’aide à la conception architecturale L. Roobaert et al. https://doi.org/10.1051/shsconf/202419802003
3726. Earth fissure susceptibility mapping: Application of random subspace‐based novel ensemble approaches M. Santosh et al. https://doi.org/10.1002/gj.4932
3727. Review-Based Recommender System Using Outer Product on CNN S. Hong et al. https://doi.org/10.1109/ACCESS.2024.3393417
3728. Potential of Mobile LiDAR Sensors in Hiking Trail Management R. Fernandes et al. https://doi.org/10.3390/s26165143
3729. Detecting and Tracking the Positions of Wild Ungulates Using Sound Recordings S. Salem et al. https://doi.org/10.3390/s21030866
3730. Predictive modelling of tugboat propulsion loads using machine learning: a case study on Istanbul Strait maritime operation O. Yuksel et al. https://doi.org/10.1080/17445302.2026.2672462
3731. Skill of short- to medium-range monsoon rainfall forecasts from two global models over India for hydro-meteorological applications S. Prakash et al. https://doi.org/10.1002/met.1579
3732. Geostatistical based framework for spatial modeling of groundwater level during dry and wet seasons in an arid region: a case study at Hadat Ash-Sham experimental station, Saudi Arabia J. Budiman et al. https://doi.org/10.1007/s00477-021-01971-9
3733. Evaluating Molecular Representations for Predicting Cyclodextrin-PFAS Binding Energy with Machine Learning: Domain Transfer and Data Limitations C. Brzakala et al. https://doi.org/10.1021/acs.jcim.5c03121
3734. Kinetic Modeling of Anaerobic Co-Digestion Of Plant Solid Waste with Sewage Sludge: Synergistic Influences of Total Solids and Substrate Particle Size in Biogas Generation V. Leite et al. https://doi.org/10.1007/s12155-023-10677-5
3735. Y90 Radyoembolizasyon Tedavisinde Makine Öğrenmesi ile Aktivite Tahmini H. TANYILDIZI KÖKKÜLÜNK et al. https://doi.org/10.35234/fumbd.1162466
3736. XGBoost regression for robust acoustic impedance prediction in the absence of density and sonic logs K. Saleh et al. https://doi.org/10.1038/s41598-025-24727-9
3737. Multitemporal impervious surface estimation via an optimized stable/change pixel detection approach W. Fan et al. https://doi.org/10.1080/15481603.2022.2118430
3738. Adoption of Digital Aerial Photogrammetry in Forest Planning: A Case Study of Canavese Forestry Consortium, NW Italy with Technical and Economic Issues E. Borgogno-Mondino et al. https://doi.org/10.3390/land11081350
3739. Effective Training Data Extraction Method to Improve Influenza Outbreak Prediction from Online News Articles: Deep Learning Model Study B. Jang et al. https://doi.org/10.2196/23305
3740. Comparative Evaluation of Remote Sensing Platforms for Almond Yield Prediction N. Guimarães et al. https://doi.org/10.3390/agriengineering6010015
3741. A Chlorophyll Concentration Inversion Method Based on OWTs and 1D CNN-Transformer Feature Extraction Y. Cui et al. https://doi.org/10.1109/JSTARS.2025.3641630
3742. Thermal Data Optimization Through Uncertainty Reduction in Fatigue Limits Estimation: A TCM–ANN Framework for C45 Steel L. Corsaro et al. https://doi.org/10.3390/met16010042
3743. Visual analysis of inscriptions in the Tang Dynasty: a case study on the calligraphy style of Wang Xizhi Y. Zhang et al. https://doi.org/10.1007/s44267-023-00012-z
3744. A dataset of NDVI predictions for the Qinghai-Tibet Plateau based on CMIP6 (2025&ndash;2100) Z. ZHANG et al. https://doi.org/10.11922/11-6035.csd.2025.0093.zh
3745. Predictive model for the spreadability of cosmetic formulations based on large amplitude oscillatory shear (LAOS) and machine learning S. Lee et al. https://doi.org/10.1063/5.0117989
3746. Machine learning analysis of socioeconomic drivers in urban ozone pollution in Chinese cities K. Xiang et al. https://doi.org/10.1007/s10661-024-12489-2
3747. Field performance assessment and calibration of multi-depth AquaCheck capacitance-based soil moisture probes under permanent pasture for hill country soils I. Hajdu et al. https://doi.org/10.1016/j.agwat.2019.03.002
3748. Critical statistical assessment of data in metal additive manufacturing R. Wong et al. https://doi.org/10.1016/j.matdes.2025.114301
3749. RVDCU-Net: A Modular Deep Learning Framework for Spatiotemporal Reconstruction of Satellite-Derived Sea Surface Temperature T. Qi et al. https://doi.org/10.1080/01490419.2025.2583086
3750. From local data to global risk maps: A geospatial generative pre-trained transformer framework for earthquake building vulnerability estimation S. Pirasteh et al. https://doi.org/10.1016/j.gsf.2026.102445
3751. Simulation and Assimilation of CO2 Concentrations Based on the WRF-Chem Model W. Liu et al. https://doi.org/10.3390/pr13124010
3752. Laser Cladding of Stellite-6 on AISI 316 L Austenitic Stainless Steel: Empirical-Statistical Modeling and Parameter Optimization J. Pacheco et al. https://doi.org/10.1007/s40516-020-00132-0
3753. Improving the generalization error and transparency of regression models to estimate soil organic carbon using soil reflectance data E. dos Santos et al. https://doi.org/10.1016/j.ecoinf.2023.102240
3754. Weather-Aware Prediction of Trail Running Finish Times Using Machine Learning M. Darunnaja et al. https://doi.org/10.59395/ijadis.v7i2.1610
3755. Digital Forensics AI: Evaluating, Standardizing and Optimizing Digital Evidence Mining Techniques A. Solanke & M. Biasiotti https://doi.org/10.1007/s13218-022-00763-9
3756. Comparison of two fine scale spatial models for mapping temperatures inside winegrowing areas R. Le Roux et al. https://doi.org/10.1016/j.agrformet.2017.07.020
3757. Analysis of the accuracy of in-situ concrete characteristic compressive strength assessment in real structures using destructive and non-destructive testing methods K. Ali-Benyahia et al. https://doi.org/10.1016/j.conbuildmat.2022.130161
3758. Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network W. Yang et al. https://doi.org/10.1038/s41467-024-51329-2
3759. A substructure method with coupled explicit-implicit strategy for long-span wave-bridge FSI analysis X. Yin et al. https://doi.org/10.1016/j.oceaneng.2026.126751
3760. Validation of the Overseer Cropping Model for Estimating Nitrate Leaching Losses in Precision Agriculture R. Bawatharani et al. https://doi.org/10.3390/nitrogen7010017
3761. Novel soft computing hybrid model for predicting shear strength and failure mode of SFRC beams with superior accuracy W. Chaabene & M. Nehdi https://doi.org/10.1016/j.jcomc.2020.100070
3762. A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling B. Pham et al. https://doi.org/10.1080/10106049.2018.1489422
3763. Analyzing and Forecasting Admission data using Time Series Model N. Muhamad & H. Thamrin https://doi.org/10.15575/join.v5i1.546
3764. Application of HEC-HMS Model for Evaluation of Rainwater Harvesting Potential in a Semi-arid City A. Ndeketeya & M. Dundu https://doi.org/10.1007/s11269-021-02941-0
3765. Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification S. Chadalavada et al. https://doi.org/10.1109/ACCESS.2025.3561593
3766. An Attentive Aspect-Based Recommendation Model With Deep Neural Network S. Yang et al. https://doi.org/10.1109/ACCESS.2023.3349291
3767. Urban air temperature model using GOES-16 LST and a diurnal regressive neural network algorithm J. Hrisko et al. https://doi.org/10.1016/j.rse.2019.111495
3768. Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI P. Lin et al. https://doi.org/10.1016/j.ress.2023.109172
3769. Smart solutions for maize farmers: Machine learning-enabled web applications for downy mildew management and enhanced crop yield in India J. G et al. https://doi.org/10.1016/j.eja.2024.127441
3770. Inulinase production and mathematical modeling from carob extract by using Aspergillus niger M. Ilgın et al. https://doi.org/10.1002/btpr.2919
3771. 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
3772. A Peak Traffic Congestion Prediction Method Based on Bus Driving Time Z. Huang et al. https://doi.org/10.3390/e21070709
3773. Influence of large scale climate drivers on hydro-climate variability in Dwangwa River Basin, Malawi A. Chirwa et al. https://doi.org/10.1007/s44292-024-00007-5
3774. Prediction of Digestible and Metabolizable Energy in Swine Feed Using Machine Learning J. Yu et al. https://doi.org/10.1021/acsomega.6c03545
3775. Evaluation of complete-arch implant scanning with 5 different intraoral scanners in terms of trueness and operator experience G. Revell et al. https://doi.org/10.1016/j.prosdent.2021.01.013
3776. Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach K. Essa & E. Abo-Ezz https://doi.org/10.1007/s40328-021-00337-5
3777. Variations of B0 and B1 with the solar quiet Sq-current system and comparison with IRI-2012 model at Ilorin S. Bello et al. https://doi.org/10.1016/j.asr.2017.02.003
3778. Thermal-hydraulic performance and design screening of a Y-shaped bifurcated honeycomb microchannel heat sink S. Ding et al. https://doi.org/10.1016/j.icheatmasstransfer.2026.111694
3779. Forecasting Energy Consumption of a Public Building Using Transformer and Support Vector Regression J. Huang & S. Kaewunruen https://doi.org/10.3390/en16020966
3780. Assessing Rodent-Induced Ecological Disturbance in Natural Grasslands Using Multi-Source Spatial Data M. Huang et al. https://doi.org/10.3390/ani16142260
3781. Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models H. Ly et al. https://doi.org/10.1007/s00521-020-05214-w
3782. NASGP: An efficient and interpretable neural architecture search framework for plant genomic prediction Y. Rao et al. https://doi.org/10.1016/j.indcrop.2026.124009
3783. How important is to detect systematic error in predictions and understand statistical applicability domain of QSAR models? K. Roy et al. https://doi.org/10.1016/j.chemolab.2017.01.010
3784. 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
3785. Predicting aggregate stability index in ferralsols T. de Melo et al. https://doi.org/10.1111/sum.12453
3786. Integrated RSM and machine learning approach for surface topography optimization in SLA 3D-printed functional components E. Yıldız & M. Albaşkara https://doi.org/10.1088/2051-672X/ae4118
3787. Prediction of evaporation in arid and semi-arid regions: a comparative study using different machine learning models Z. Yaseen et al. https://doi.org/10.1080/19942060.2019.1680576
3788. CORAL: Development of a hybrid descriptor based QSTR model to predict the toxicity of dioxins and dioxin-like compounds with correlation intensity index and consensus modelling P. Kumar et al. https://doi.org/10.1016/j.etap.2022.103893
3789. Evaluation of precipitation datasets over Greece. Insights from comparing multiple gridded products with observations K. Papa & A. Koutroulis https://doi.org/10.1016/j.atmosres.2024.107888
3790. Research on the Prediction of Higher Heating Value of Biochar Based on Machine Learning Trained with “Enhanced Data” C. Zhao et al. https://doi.org/10.1007/s12155-025-10895-z
3791. Tunneling-induced settlement prediction using the hybrid feature selection method for feature optimization Y. Cheng et al. https://doi.org/10.1016/j.trgeo.2022.100808
3792. Evaluation metrics in medical imaging AI: fundamentals, pitfalls, misapplications, and recommendations B. Kocak et al. https://doi.org/10.1016/j.ejrai.2025.100030
3793. Machine learning based technique for characterization of magnetocaloric entropy performance: a study on formula (La0.67Ca(0.33-x)SrₓMn0.98Ni0.02O3)1-y/(La0.67Ca0.33MnO3)y manganite composites K. Laajimi et al. https://doi.org/10.1007/s42247-026-01345-3
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3795. A construction method of a multidimensional and multilingual association network for earth surface system science data Q. Qiu et al. https://doi.org/10.1080/17538947.2025.2522388
3796. Assessing the Applicability of the LTSF Algorithm for Streamflow Time Series Prediction: Case Studies of Dam Basins in South Korea J. Park et al. https://doi.org/10.3390/w17223214
3797. Ensemble learning models to predict the compressive strength of geopolymer concrete: a comparative study for geopolymer composition design Q. Tian et al. https://doi.org/10.1007/s41939-023-00303-4
3798. Rapid monitoring of heavy metal-ammonia complexes in solutions by UV–vis/ATR-FTIR spectroscopy and chemometric models Z. Liu et al. https://doi.org/10.1016/j.cej.2024.148692
3799. Machine learning-based prediction of species mass fraction and flame characteristics in partially premixed turbulent jet flame A. Shateri et al. https://doi.org/10.1063/5.0277024
3800. Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning X. Huang et al. https://doi.org/10.1038/s41598-025-14172-z
3801. From iteration to instantaneity: a new deep learning approach for inverse design of indoor environment J. Li et al. https://doi.org/10.1080/23744731.2026.2665560
3802. Framework for predicting multi-sector business interruption losses solely from earthquake scenarios Q. Mao et al. https://doi.org/10.1016/j.ijdrr.2026.106034
3803. Accuracy of Automatic Passenger Counting in Open Mass Transit Systems: Insights from Italy B. Barabino et al. https://doi.org/10.2174/0126671212383074250407062430
3804. Evaluation of ionospheric models for Central and South Americas T. Klipp et al. https://doi.org/10.1016/j.asr.2019.09.005
3805. Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble A. Zarrin & A. Dadashi-Roudbari https://doi.org/10.1007/s00704-021-03568-2
3806. Accurate VLE Predictions via COSMO-RS-Guided Deep Learning Models: Solubility and Selectivity in Physical Solvent Systems for Carbon Capture E. Parascandolo et al. https://doi.org/10.1021/acs.jcim.5c01148
3807. SolarET: A generalizable machine learning approach to estimate reference evapotranspiration from solar radiation A. Ahmadi et al. https://doi.org/10.1016/j.agwat.2024.108779
3808. Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping S. Razavi-Termeh et al. https://doi.org/10.1016/j.ecoinf.2025.103326
3809. Machine learning-enabled nanosafety assessment of multi-metallic alloy nanoparticles modified TiO2 system P. Regonia et al. https://doi.org/10.1016/j.impact.2022.100442
3810. Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine M. Zounemat-Kermani et al. https://doi.org/10.1007/s11709-021-0697-9
3811. Travel distance estimation of landslide-induced debris flows by machine learning method in Nepal Himalaya after the Gorkha earthquake C. Qiu & X. Geng https://doi.org/10.1007/s10064-024-03883-8
3812. Implementation of flexible models to bioethanol production from carob extract–based media in a biofilm reactor M. Germec et al. https://doi.org/10.1007/s13399-020-00612-5
3813. Machine-Learning Modeling of Asphalt Crack Treatment Effectiveness Z. Huang et al. https://doi.org/10.1061/JPEODX.0000274
3814. Statistical analysis of modified Hargreaves equation for precise estimation of reference evapotranspiration R. Habeeb et al. https://doi.org/10.1080/16000870.2021.1966869
3815. Time-series data optimized AR/ARMA model for frugal spectrum estimation in Cognitive Radio D. Chakraborty & S. Sanyal https://doi.org/10.1016/j.phycom.2020.101252
3816. Improving GNSS-IR Sea Surface Height Accuracy Based on a New Ionospheric Stratified Elevation Angle Correction Model J. Zhu et al. https://doi.org/10.3390/rs16173270
3817. MACHINE LEARNING AND VALIDATION STRATEGIES IN PANEL DATA-BASED GREENHOUSE GAS EMISSION MODELING D. Demircioğlu Diren https://doi.org/10.18038/estubtda.1891746
3818. Pancreatic fibrosis assessment and association with pancreatic cancer: comparison with the extracellular volume fraction H. Fukui et al. https://doi.org/10.1016/j.crad.2024.08.007
3819. Histogram tabanlı gradyan artırma yöntemi ile Türkiye için kısa vadeli elektrik talep tahmini H. Karamollaoğlu https://doi.org/10.28948/ngumuh.1817112
3820. TRIAGE: Trustworthy Reporting and Assessment for Clinical Gain and Effectiveness of AI Models F. Fazilati et al. https://doi.org/10.3390/diagnostics16050666
3821. AI-powered hotel performance prediction: a multimodal data approach N. Li et al. https://doi.org/10.1108/IJCHM-11-2025-1744
3822. Rapid construction of safe-zone by active flow field control and sparse-sampling-perception-network for public indoor environments suffering from nerve agents X. Gao et al. https://doi.org/10.1016/j.buildenv.2022.109961
3823. Compressed neural networks for reduced order modeling Y. Zhu et al. https://doi.org/10.1063/5.0194598
3824. Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel Y. Wong et al. https://doi.org/10.1007/s10661-020-08268-4
3825. Using Pythagorean Expectation to Determine Luck in the KFC Big Bash League A. Vine https://doi.org/10.1111/1759-3441.12139
3826. Multiple hypothesis testing in cognitive IoT sensor network V. Jha & P. Tripathi https://doi.org/10.1016/j.adhoc.2024.103559
3827. Novel GA-Based DNN Architecture for Identifying the Failure Mode with High Accuracy and Analyzing Its Effects on the System N. Rezaeian et al. https://doi.org/10.3390/app14083354
3828. Dynamic resource provisioning for service-based cloud applications: A Bayesian learning approach R. Panwar & M. Supriya https://doi.org/10.1016/j.jpdc.2022.06.001
3829. A protein fitness predictive framework based on feature combination and intelligent searching Z. Zhang et al. https://doi.org/10.1002/pro.5211
3830. The potential of hyperspectral images and partial least square regression for predicting total carbon, total nitrogen and their isotope composition in forest litterfall samples I. Tahmasbian et al. https://doi.org/10.1007/s11368-017-1751-z
3831. 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
3832. Estimating evapotranspiration in semi-arid rangelands: connecting reference to actual evapotranspiration and the role of soil evaporation O. Gwate et al. https://doi.org/10.2989/10220119.2018.1505779
3833. A general finite deformation hypoelastic-plasticity non-ordinary state-based peridynamics model and its applications R. Liu et al. https://doi.org/10.1007/s00366-023-01792-0
3834. Temperature prediction of combustion level of ultra-supercritical unit through data mining and modelling X. Li et al. https://doi.org/10.1016/j.energy.2021.120875
3835. Surface ozone trend variability across the United States and the impact of heat waves (1990–2023) K. Chang et al. https://doi.org/10.5194/acp-25-5101-2025
3836. Estimating large birds’ radar cross-section for aeroecology studies using T-matrix modelling K. Reznikov et al. https://doi.org/10.1098/rsif.2025.0510
3837. Machine learning insights into catalyst composition and structural effects on CH4 selectivity in iron-based fischer tropsch synthesis Y. Liu et al. https://doi.org/10.1016/j.aichem.2024.100062
3838. 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
3839. Evaluation of Sentinel-2 Vegetation Indices for Estimating Leaf Area Index in Cassava Plots K. Promnikorn et al. https://doi.org/10.3390/agriengineering8040134
3840. Room-level overheating disparities and the limits of passive-design attribution in humid subtropical Australian homes: a year-long field study F. Zhang et al. https://doi.org/10.1016/j.buildenv.2026.114995
3841. Statistical White-Line Analysis in High-Throughput TXM-XANES for Chemical State Quantification J. Wang et al. https://doi.org/10.1021/photonsci.5c00020
3842. Selection of alternate reference evapotranspiration models based on multi-criteria decision ranking for semiarid climate J. Rajput et al. https://doi.org/10.1007/s10668-023-03234-9
3843. 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
3844. Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia S. Bhagat et al. https://doi.org/10.1016/j.jhazmat.2020.123492
3845. Ultrasound imaging with flexible transducers based on real-time and high-accuracy shape estimation X. Gao et al. https://doi.org/10.1016/j.ultras.2024.107551
3846. CVIDS: A Collaborative Localization and Dense Mapping Framework for Multi-Agent Based Visual-Inertial SLAM T. Zhang et al. https://doi.org/10.1109/TIP.2022.3213189
3847. Comparison of High-Resolution Satellite Precipitation Products in Sub-Saharan Morocco M. Rachdane et al. https://doi.org/10.3390/w14203336
3848. Using laboratory-based hyperspectral imaging method to determine carbon functional group distributions in decomposing forest litterfall I. Tahmasbian et al. https://doi.org/10.1016/j.catena.2018.04.023
3849. 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
3850. 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
3851. 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
3852. Deep learning approaches for prediction of adiabatic temperature rise of concrete with complex mixture constituents Y. Jiang et al. https://doi.org/10.1016/j.jobe.2023.106816
3853. Numerical groundwater modelling under changing water abstraction in Weyib watershed, Ethiopia M. Aredo et al. https://doi.org/10.1080/23311916.2023.2283297
3854. Exploring in house glutamate inhibitors of matrix metalloproteinase-2 through validated robust chemico-biological quantitative approaches N. Adhikari et al. https://doi.org/10.1007/s11224-017-1028-6
3855. Makine öğrenmesi ve derin öğrenme yöntemleri kullanılarak e-perakende sektörüne yönelik talep tahmini M. ACI & G. AYYILDIZ DOĞANSOY https://doi.org/10.17341/gazimmfd.944081
3856. 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
3857. Building Agent-Based Decision Support Systems for Word-of-Mouth Programs. A Freemium Application M. Chica https://doi.org/10.2139/ssrn.2821171
3858. Necessity of making water smart for proactive informed decisive actions: A case study of the upper vaal catchment, South Africa A. du Plessis https://doi.org/10.1016/j.envc.2021.100100
3859. 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
3860. 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
3861. 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
3862. 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
3863. 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
3864. A regional analysis model of maize kernel moisture L. Li et al. https://doi.org/10.1002/agj2.20532
3865. Analysis of Radiosonde Temperature Profile Measurement in Pamengpeuk S. Rahayu et al. https://doi.org/10.1088/1742-6596/1373/1/012003
3866. 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
3867. 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
3868. 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
3869. 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
3870. 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
3871. 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
3872. Integrated Compensation and Rotation Alignment for Three-Axis Magnetic Sensors Array Q. Li et al. https://doi.org/10.1109/TMAG.2018.2860950
3873. Comparative Analysis of Spatiotemporal Variability of Groundwater Storage in Iraq Using GRACE Satellite Data H. Mohammed et al. https://doi.org/10.3390/hydrology12040069
3874. 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
3875. New Target for Accurate Terrestrial Laser Scanning and Unmanned Aerial Vehicle Point Cloud Registration T. Urbančič et al. https://doi.org/10.3390/s19143179
3876. 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
3877. 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
3878. 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
3879. 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
3880. 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
3881. 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
3882. 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
3883. 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
3884. 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
3885. Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction B. Sun et al. https://doi.org/10.1021/acs.jcim.7b00272
3886. Cross Assessment of Twenty-One Different Methods for Missing Precipitation Data Estimation A. Armanuos et al. https://doi.org/10.3390/atmos11040389
3887. Energy Load Forecasting with Machine Learning: Models, Metrics, and Future Directions M. Manzoor https://doi.org/10.70389/PJAI.100018
3888. Technology evolution in maritime autonomous systems: A patent-based analysis M. Belabyad et al. https://doi.org/10.1016/j.ocecoaman.2025.107744
3889. Application of machine learning in polymer additive manufacturing: A review T. Nasrin et al. https://doi.org/10.1002/pol.20230649
3890. 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
3891. Short-term electricity consumption forecasting with deep learning E. Demir & S. Gunal https://doi.org/10.1007/s11227-025-07564-5
3892. Landscape Metrics as Ecological Indicators for PM10 Prediction in European Cities S. Sohrab et al. https://doi.org/10.3390/land13122245
3893. 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
3894. A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers C. Crespo Turrado et al. https://doi.org/10.3390/s151229842
3895. Comparative analysis of 16S rRNA of bacteria associated with the ancient annelid Platynereis dumerilii: structural conservation across clades J. Buenaluz et al. https://doi.org/10.71336/jabs.1510
3896. Activated carbon paper as ethylene adsorber . Qanytah et al. https://doi.org/10.1515/npprj-2022-0082
3897. Utilizing Satellite Imagery for Seasonal Trophic Analysis in the Freshwater Reservoir R. Rachmadita et al. https://doi.org/10.47352/jmans.2774-3047.188
3898. 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
3899. 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
3900. 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
3901. Diagnosis of depression based on facial multimodal data N. Jin et al. https://doi.org/10.3389/fpsyt.2025.1508772
3902. 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
3903. 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
3904. 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
3905. Deep-learning-based real-time individualization for reduce-order haemodynamic model B. Li et al. https://doi.org/10.1016/j.compbiomed.2024.108476
3906. 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
3907. 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
3908. 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
3909. Geologically deep learning for high-resolution sparse 3D oil reservoir modeling S. Hu et al. https://doi.org/10.1016/j.egyai.2026.100731
3910. 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
3911. 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
3912. 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
3913. 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
3914. 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
3915. 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
3916. Prediction of Wastewater Treatment Plant Effluent Water Quality Using Recurrent Neural Network (RNN) Models P. Wongburi & J. Park https://doi.org/10.3390/w15193325
3917. 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
3918. 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
3919. 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
3920. 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
3921. ETo‐Brazil: A Daily Gridded Reference Evapotranspiration Data Set for Brazil (2000–2018) D. Althoff et al. https://doi.org/10.1029/2020WR027562
3922. Machine Learning in Wear Prediction R. Shah et al. https://doi.org/10.1115/1.4066865
3923. 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
3924. 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
3925. 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
3926. 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
3927. Quantifying long-term variability of precipitation and temperature over Zambia B. Libanda et al. https://doi.org/10.1016/j.jastp.2020.105201
3928. Comparative analysis of photovoltaic system technologies using advanced Machine Learning algorithms M. Ezzini et al. https://doi.org/10.1088/1402-4896/ae5359
3929. 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
3930. 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
3931. 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
3932. 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
3933. Airfield Incursion Modeling of United States Hub Airports B. Claros et al. https://doi.org/10.2514/1.D0044
3934. 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
3935. 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
3936. 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
3937. A Rapid Scalable Embedding and Mapping Model for Recommendation S. Zhang et al. https://doi.org/10.1109/ACCESS.2020.3000894
3938. 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
3939. 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
3940. 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
3941. 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
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4215. Applicability Assessment of GFED4 and GFED5 on Forest Fires in Chinese Mainland and Its Fire-Scale Patterns Change X. Wang et al. https://doi.org/10.3390/rs17203461
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4217. Acoustic Characterization and Modeling of Silicone-Bonded Cocoa Crop Waste Using a Model Based on the Gaussian Support Vector Machine V. Puyana-Romero et al. https://doi.org/10.3390/fib10030025
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