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1305. Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida M. Zounemat-Kermani et al. https://doi.org/10.3390/app9122534
1306. A Survey of Deep Learning for Time Series Forecasting: Theories, Datasets, and State-of-the-Art Techniques G. Lu et al. https://doi.org/10.32604/cmc.2025.068024
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1464. Optimal Identification of Concealed Copper Mineral Deposit Locations Utilising Isotope Signatures in Groundwater Systems R. Maharaj et al. https://doi.org/10.3390/w18192460
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1485. Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods M. Su et al. https://doi.org/10.3390/en12091680
1486. Estimating Solar Insolation and Power Generation of Photovoltaic Systems Using Previous Day Weather Data M. Chung & E. Brunesi https://doi.org/10.1155/2020/8701368
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1492. Data-Driven Framework for The Flow Characteristics of Self-Compacting Concrete Using Machine Learning https://doi.org/10.20900/jsr20260061
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1497. Data-Driven Modeling of Lateral and Cracking Loads in Confined Masonry Walls Using Machine Learning H. Bile & K. Güler https://doi.org/10.3390/buildings14124016
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2126. Towards efficient and effective renewable energy prediction via deep learning Z. Khan et al. https://doi.org/10.1016/j.egyr.2022.08.009
2127. Effect of Climate Change on Soil Erosion in a Mountainous Mediterranean Catchment (Central Pindus, Greece) S. Stefanidis & D. Stathis https://doi.org/10.3390/w10101469
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2165. QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning X. Deng et al. https://doi.org/10.3390/pharmaceutics18081014
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2175. Quartile Regression and Ensemble Models for Extreme Events of Multi-Time Step-Ahead Monthly Reservoir Inflow Forecasting J. Weekaew et al. https://doi.org/10.3390/w16233388
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2177. Indoor Air Design Parameters of Air Conditioners for Mold-Prevention and Antibacterial in Island Residential Buildings X. Zhang et al. https://doi.org/10.3390/ijerph17197316
2178. Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity M. Ghorbani et al. https://doi.org/10.1016/j.still.2018.09.012
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2180. Constraining Galaxy-Halo connection using machine learning A. Jana & L. Samushia https://doi.org/10.1016/j.ascom.2024.100883
2181. Enhancing harmful algal bloom predictions through integrated modeling of turbidity and nutrient dynamics in monsoon climate reservoirs D. Kim & S. Chung https://doi.org/10.1016/j.jenvman.2025.125291
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2183. Spectral decomposition of iron-sulfur clusters I. Betinol et al. https://doi.org/10.1016/j.ab.2021.114269
2184. The impact of oxides of cementitious materials on mortar strength: A machine learning perspective N. Sathiparan https://doi.org/10.1016/j.scp.2025.102178
2185. Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation S. Hadi et al. https://doi.org/10.1109/ACCESS.2019.2943515
2186. Assessment of plant density for barley and wheat using UAV multispectral imagery for high-throughput field phenotyping N. Wilke et al. https://doi.org/10.1016/j.compag.2021.106380
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2189. Optimation of Crawler Speeds Measurement Using Inductive Proximity for Autonomous Combine Harvester S. Sutisna et al. https://doi.org/10.1088/1755-1315/542/1/012029
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2191. Hydrodynamic Modelling of Bidong Island Vicinity Waters N. Daud & M. Akhir https://doi.org/10.4236/ojms.2015.53026
2192. Correcting Satellite Precipitation Data and Assimilating Satellite-Derived Soil Moisture Data to Generate Ensemble Hydrological Forecasts within the HBV Rainfall-Runoff Model M. Ciupak et al. https://doi.org/10.3390/w11102138
2193. Capsules TCN Network for Urban Computing and Intelligence in Urban Traffic Prediction D. Li et al. https://doi.org/10.1155/2020/6896579
2194. The Development and Field Evaluation of an IoT–LoRa-Based Water-Quality-Monitoring and Aeration-Actuation System for Tilapia Cage Farming P. Sangkaphet et al. https://doi.org/10.3390/app16115308
2195. Prediction of agricultural drought behavior using the Long Short-Term Memory Network (LSTM) in the central area of the Gulf of Mexico F. Salas-Martínez et al. https://doi.org/10.1007/s00704-024-05100-8
2196. Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach S. De La Torre et al. https://doi.org/10.1016/j.jbi.2024.104721
2197. Determination of ionization/protonation constant values of some guanine derivative drugs by traditional/ green RPLC and UV–Vis spectrophotometric methods Y. Doğan Daldal & E. Çubuk Demiralay https://doi.org/10.1016/j.molliq.2024.125450
2198. Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions H. Apaydin et al. https://doi.org/10.1016/j.jhydrol.2021.126506
2199. Engine-in-the-Loop in practical application: A sensitivity study toward the influence of test bench parameters A. Wahl et al. https://doi.org/10.1177/09544070221085971
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2201. Modeling Landscape Change Effects on Stream Temperature Using the Soil and Water Assessment Tool M. Mustafa et al. https://doi.org/10.3390/w10091143
2202. Optimizing reservoir operation to avoid downstream physical habitat loss using coupled ANFIS- metaheuristic model M. Sedighkia et al. https://doi.org/10.1007/s12145-021-00671-w
2203. High accuracy prediction of Thai rice glycemic index using machine learning Y. Durmus https://doi.org/10.1080/23311932.2024.2411032
2204. A long lead time forecast model applying an ensemble approach for managing the great Karun multi-reservoir system E. Mostaghimzadeh et al. https://doi.org/10.1007/s13201-023-01924-3
2205. Climate data verification for assessing climate change in Almaty region of the Republic of Kazakhstan K. Kyrgyzbay et al. https://doi.org/10.1016/j.cliser.2023.100423
2206. The predicted effectiveness of thermal condition mitigation strategies for a climate-resilient archaeological park F. Binarti et al. https://doi.org/10.1016/j.scs.2021.103457
2207. Guangzhou Housing Price Prediction Based On Machine Learning Regression Models Z. Huang et al. https://doi.org/10.54097/hset.v44i.7355
2208. Adaptive Broad Echo State Network for Nonstationary Time Series Forecasting W. Liu et al. https://doi.org/10.3390/math10173188
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2217. Prediction of the antibacterial activity of garlic extract on E. coli, S. aureus and B. subtilis by determining the diameter of the inhibition zones using artificial neural networks D. Atsamnia et al. https://doi.org/10.1016/j.lwt.2017.04.053
2218. Integrating lithofacies and well logging data into smooth generalized additive model for improved permeability estimation: Zubair formation, South Rumaila oil field W. J Al-Mudhafar https://doi.org/10.1007/s11001-018-9370-7
2219. Modeling Short-Term Passenger Flows in Metro and Bus Systems Using Meteorological Data: Deep Learning Model Comparisons C. Yazıcıoğlu & A. Akgüngör https://doi.org/10.3390/app15116260
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2222. Comparative Evaluation of Estimated Private Rates of Return to General and Vocational Upper Secondary Education in Greece: Mincer and Machine Learning Approaches A. Velaora et al. https://doi.org/10.3390/educsci16040662
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2229. A pattern-oriented model for assessing effects of weather and freshwater discharge on black coral (Antipathes fiordensis) distribution in a fjord W. Jiang et al. https://doi.org/10.1016/j.ecolmodel.2015.02.020
2230. Influence of land cover, slope, and aspect on the vertical accuracy of SPOT DEM at selected sites in Nigeria P. Nwilo et al. https://doi.org/10.1007/s12518-021-00404-0
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2233. Evaluating the Cost-Effectiveness of Cervical Cancer Screening and Treatment in Western Romania I. Petre et al. https://doi.org/10.3390/curroncol32060336
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2239. Prediction of the Growth Rates of Pseudomonas sp. in Seafood Based on Artificial Neural Network (ANN) Model I. Genç https://doi.org/10.1080/10498850.2023.2219675
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2242. Modeling post-earthquake business recovery time: An analytical framework G. Cremen et al. https://doi.org/10.1016/j.ijdrr.2019.101328
2243. Analysis of the Fruit Drop Rate Caused by Typhoons Using Meteorological Data S. Choi et al. https://doi.org/10.3390/agriculture13091800
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2246. Nexus Between Baltic Dry Index and Oil Price: New Evidence from Linear and Nonlinear ARDL Approaches T. Nguyen et al. https://doi.org/10.3390/economies14030086
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2250. Predicting EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities from Older People’s Quality of Life Brief Questionnaire (OPQoL-Brief) Scores B. Kaambwa & J. Ratcliffe https://doi.org/10.1007/s40271-017-0259-3
2251. Seismogenic index improves deep learning performance for seismicity rate forecasting in Utah FORGE and EGS Collab projects S. Zhang et al. https://doi.org/10.1093/gji/ggag190
2252. Dual-stream learning with inverted transformer and BiGRU for rolling bearing remaining useful life prediction S. Wu et al. https://doi.org/10.1038/s41598-026-60290-7
2253. Identifying facile material descriptors for Charpy impact toughness in low-alloy steel via machine learning Y. Chen et al. https://doi.org/10.1016/j.jmst.2022.05.051
2254. Temporal resolution enhancement of NDVI time series using machine learning approaches S. Park et al. https://doi.org/10.1007/s40808-025-02551-4
2255. Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries K. Moreri et al. https://doi.org/10.1080/13658816.2017.1409353
2256. A hybrid machine learning approach for housing price prediction: the stacking regressor method Ö. Erbulut & Z. Çolak https://doi.org/10.1108/IJHMA-01-2025-0010
2257. Vis-NIR Spectroscopy and Machine Learning for Prediction of Soil Fertility Indicators and Fertilizer Recommendation in Andean Highland and Rainforest Agroecosystems S. Pizarro et al. https://doi.org/10.3390/rs18091331
2258. Interannual variability of Indonesian throughflow in the Flores Sea P. Putriani et al. https://doi.org/10.1088/1755-1315/278/1/012064
2259. In-Depth Analysis and Prediction of Coupling Metrics of Open Source Software Projects M. Saini et al. https://doi.org/10.4018/JITR.301267
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2264. 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
2265. Pedestrian-Oriented Microclimate Optimization for Urban Plazas: Integrating Movement Patterns with Thermal Comfort Simulation H. Huang et al. https://doi.org/10.3390/buildings16101874
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2374. 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
2375. 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
2376. 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
2377. 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
2378. Explainable Machine Learning Prediction of Vehicle CO2 Emissions for Sustainable Energy and Transport D. Yuan et al. https://doi.org/10.3390/en18205408
2379. Automated morphometric modelling of an endangered freshwater cetacean from unscaled UAV imagery using an internal scaling framework H. Zhou et al. https://doi.org/10.1016/j.ecoinf.2026.104070
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2381. 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
2382. 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
2383. 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
2384. 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
2385. 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
2386. Design, Modeling, and Control of a Fully Actuated Multirotor with Multidirectional Thrusts M. Ghazali et al. https://doi.org/10.1142/S2301385026500391
2387. Gauge-to-Grid Precipitation Error of CHIRPS v2 and CRU TS v4.10 at Mexican Stations, 1981–2020: Error Scale, Seasonality, Interannual Amplitude and Environmental Associations C. Bautista-Capetillo & E. Mattos-Villarroel https://doi.org/10.3390/cli14110241
2388. 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
2389. Generation of Loss Functions from Matrix-Based Binary Classification Metrics D. Han et al. https://doi.org/10.1145/3805705
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2392. 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
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2394. Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases H. Ko et al. https://doi.org/10.1155/2023/9965226
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2396. 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
2397. 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
2398. An optimised holt-winters approach to water level forecasting: A case study of the Magdalena River, Colombia A. Pulido-Rojano et al. https://doi.org/10.1016/j.htopen.2026.100098
2399. 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
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2401. 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
2402. 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
2403. 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
2404. 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
2405. A machine learning-based framework toward predicting PFAS degradation and defluorination in electrochemical oxidation with automated EE/O estimation H. Kim et al. https://doi.org/10.1016/j.desal.2026.120788
2406. 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
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2408. 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
2409. 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
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2411. 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
2412. Monitoring, Diffusion and Source Speculation Model of Urban Soil Pollution Z. Li et al. https://doi.org/10.3390/pr8111339
2413. 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
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2416. 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
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2664. Climate Dynamics and Rain-fed Tuber Crop Yield Cultivated by Small-scale Landowner Under Global Warming in Wolaita Zone Southern Ethiopia T. Badacho https://doi.org/10.11648/j.ajere.20251002.12
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2686. Bio-based derived activated carbon electrodes for azo dye removal: Enhanced electrocoagulation via hybrid statistical–machine learning framework F. Dadpanah & S. Sadri Moghaddam https://doi.org/10.1016/j.jwpe.2025.108283
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2711. Prediction of the Vertical Bearing Capacity of Piles in Cold Saline Environments by a Multi-Dimensional Machine Learning Approach Y. Jia & Z. Li https://doi.org/10.3390/buildings16102042
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2713. Membraneless Microbial Fuel Cell: Characterization of Electrogenic Bacteria and Kinetic Growth Model M. Mohd Zaini Makhtar & V. Vadivelu https://doi.org/10.1061/(ASCE)EE.1943-7870.0001522
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2722. Time versus Space: Choice of Effort Metric Can Avoid Bias in Boat Electrofishing Catch per Unit Effort B. Marcy-Quay et al. https://doi.org/10.1002/nafm.10351
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2751. Practical Machine Learning Application for Predicting Axial Capacity of Composite Concrete-Filled Steel Tube Columns Considering Effect of Cross-Sectional Shapes T. Duong et al. https://doi.org/10.1007/s13296-022-00693-0
2752. Long-term policy guidance for sustainable energy transition in Nigeria: A deep learning-based peak load forecasting with econo-environmental scenario analysis I. Bayode et al. https://doi.org/10.1016/j.energy.2025.135707
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2776. A Data-Driven Model for Rapid CII Prediction M. Mühmer et al. https://doi.org/10.3390/jmse12112048
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2790. Potential Use of Artificial Neural Networks in Prediction of Dengue Abundance in Agra District T. Sant & N. Satsangi https://doi.org/10.1088/1757-899X/1116/1/012201
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2809. Tests of Belt Linear Speed for Identification of Frictional Contact Phenomena P. Bortnowski et al. https://doi.org/10.3390/s20205816
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2818. Predictive Modelling of Sugar Release from Blended Garden Wastes in a Microwave-Assisted Hot Water Process R. Bai et al. https://doi.org/10.1007/s12649-019-00932-2
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2826. Improvements of 6S Look-Up-Table Based Surface Reflectance Employing Minimum Curvature Surface Method K. Lee et al. https://doi.org/10.1007/s13143-019-00164-3
2827. Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks X. Wang et al. https://doi.org/10.1016/j.neuroscience.2017.08.038
2828. Estimation of Bearing Capacity of Piles in Cohesionless Soil Using Optimised Machine Learning Approaches N. Kardani et al. https://doi.org/10.1007/s10706-019-01085-8
2829. An urban-level prediction of lockdown measures impact on the prevalence of the COVID-19 pandemic S. Pourroostaei Ardakani et al. https://doi.org/10.1186/s41118-022-00174-6
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2831. Regression and Correlation-Based Modeling of Nonlinear Optical Response in Quantum Wells M. Sayraç & E. Yalçın https://doi.org/10.17776/csj.1662124
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2834. Mapping Uncertainty Due to Missing Data in the Global Ocean Health Index M. Frazier et al. https://doi.org/10.1371/journal.pone.0160377
2835. Modeling of Medical Waste Generation in Dental Clinics Affiliated to the Provincial Health Directorate in Kastamonu: PLS and Gradient Boosting Approaches E. Kalkan et al. https://doi.org/10.3390/pr13123820
2836. Performance Analysis of IoT-Based pH and EC Control System for Smart Indoor Hydroponics Pagoda Mustard Cultivation B. Muhammad Akbar et al. https://doi.org/10.35970/jinita.v8i1.3080
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2846. Crude Oil Prices Forecasting: An Approach of Using CEEMDAN-Based Multi-Layer Gated Recurrent Unit Networks H. Lin & Q. Sun https://doi.org/10.3390/en13071543
2847. Lag effect of the El Niño–Southern Oscillation on the catch per unit effort of Yellowfin Tuna and Bigeye Tuna in the western and central Pacific longline fisheries J. Zhang et al. https://doi.org/10.1093/mcfafs/vtaf048
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2872. Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges M. Le et al. https://doi.org/10.1007/s13369-023-08474-5
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2877. Deep Learning-Based Simulation of Surface Suspended Sediment Concentration in the Yangtze Estuary during Typhoon In-Fa Z. Ren et al. https://doi.org/10.3390/w16010146
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2882. Classification of Nationwide Meteorological Types Based on K-means Clustering and Analysis of Type-Specific Ozone Variation Factors S. Jung et al. https://doi.org/10.5572/KOSAE.2026.42.3.557
2883. A Domain-Guided Noise-Optimization-Based Inversion Method for Facial Image Manipulation N. Yang et al. https://doi.org/10.1109/TIP.2021.3089905
2884. Cyanobacteria Index as a Tool for the Satellite Detection of Cyanobacteria Blooms in the Baltic Sea M. Konik et al. https://doi.org/10.3390/rs15061601
2885. MAPLE: Mixed Path Calculation in Tile-Based 3D Maps M. Ozyurt et al. https://doi.org/10.1109/LCOMM.2019.2954397
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2887. Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model L. Joseph et al. https://doi.org/10.1016/j.apenergy.2024.122624
2888. A Hybrid Machine Learning Model for Modeling Nitrate Concentration in Water Sources A. Mazraeh et al. https://doi.org/10.1007/s11270-023-06745-3
2889. Investigation of Prediction Accuracy of Hierarchical Linear Modelling and Artificial Neural Networks Methods on PISA 2018 Reading Literacy E. Akdoğdu Yıldız & K. Atalay Kabasakal https://doi.org/10.17152/gefad.1700937
2890. Unsupervised geomechanical state reconstruction in deviated wellbore using a hybrid Transformer graph attention deep learning architecture N. Kumar B & A. M https://doi.org/10.3389/fbuil.2026.1976552
2891. Direct Prediction of the Toxic Gas Diffusion Rule in a Real Environment Based on LSTM F. Qian et al. https://doi.org/10.3390/ijerph16122133
2892. Landuse/landcover monitoring and spatiotemporal modelling using multilayer perceptron and ‘multilayer perceptron’-Markov Chain ensemble models: A case study of Dausa City, Rajasthan S. Soni et al. https://doi.org/10.1088/1755-1315/1032/1/012028
2893. MAFA-Uformer: Multi-attention and dual-branch feature aggregation U-shaped transformer for sparse-view CT reconstruction X. Zhang et al. https://doi.org/10.1177/08953996241300016
2894. Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship A. Zhang et al. https://doi.org/10.3390/s24216980
2895. Predictive Modeling of Heart Rate Dynamics based on Physical Characteristics and Exercise Parameters: A Machine Learning Approach M. Ali et al. https://doi.org/10.54392/ijpefs2421
2896. Bias correction of daily precipitation over South Korea from the long-term reanalysis using a composite Gamma-Pareto distribution approach D. Kim et al. https://doi.org/10.2166/nh.2019.127
2897. Vehicle Delay Model for Signalized Midblock Crosswalk Under Mixed Traffic Conditions S. Manthirikul & U. Jain https://doi.org/10.1177/03611981241236784
2898. Machine learning prediction of biochar yield based on different classification methods C. Zhao et al. https://doi.org/10.1063/5.0277427
2899. Evaluation of Trimble Centerpoint RTX correction service for real-time GNSS monitoring: a field-based comparison with RTK positioning G. Cecere et al. https://doi.org/10.1007/s42452-025-07889-z
2900. Computational Fluid Dynamics Modeling and Analysis of Lime Slurry Drying in a Laboratory Spray Dry Scrubber L. Lerotholi et al. https://doi.org/10.1021/acs.iecr.4c02014
2901. Evaluation of the Hydraulic Performance of the Drip Irrigation System Using IRRICAD at the University of Sulaimani B. Mohammed et al. https://doi.org/10.1061/JIDEDH.IRENG-10695
2902. Applicability of surrogate models for static displacement responses of transmission tower-line systems under different wind-profile parameter spaces J. Xu et al. https://doi.org/10.1016/j.rese.2026.08.001
2903. Estimation of Spectral Emissivity and S/Cu Ratio From Emissions of Copper Concentrates at the Flash Smelting Process M. Marin et al. https://doi.org/10.1109/ACCESS.2019.2925734
2904. An Improved Ocean Surface Albedo Computational Scheme: Structure and Performance J. Wei et al. https://doi.org/10.1029/2020JC016958
2905. Computational fluid dynamics modelling of hydrocarbon fires in open environments: Literature review A. Palacios et al. https://doi.org/10.1002/cjce.23768
2906. Evolutionary optimization for neural network-based discrete choice modeling: enhancing stability and efficiency H. Hasanzadeh et al. https://doi.org/10.1007/s11116-025-10682-x
2907. Improvement and application of the PCPF‐1@SWAT2012 model for predicting pesticide transport: a case study of the Sakura River watershed L. Tu et al. https://doi.org/10.1002/ps.4934
2908. South African Life Sciences teachers’ pedagogical beliefs and their influence on information communication and technology integration U. Ramnarain et al. https://doi.org/10.3389/feduc.2023.1217826
2909. Wireless channel estimation in OFDM systems based on collaborative filtering techniques V. Švedek et al. https://doi.org/10.2478/jee-2019-0033
2910. A state-consistent FEMU-based framework for structural health assessment of deteriorated bridges subjected to earthquake T. Le et al. https://doi.org/10.1007/s13349-026-01152-8
2911. Assessment of CMIP6 model performance in simulating atmospheric aerosol and precipitation over Africa B. Mmame et al. https://doi.org/10.1016/j.asr.2023.06.030
2912. Heterogeneous radiotherapy dose-outcomes response in parotid glands H. Clark et al. https://doi.org/10.1088/2057-1739/aac8ea
2913. From ERA-Interim to ERA5: the considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations L. Hoffmann et al. https://doi.org/10.5194/acp-19-3097-2019
2914. Modeling of ethanol fermentation from carob extract–based medium by using Saccharomyces cerevisiae in the immobilized-cell stirred tank bioreactor E. Yatmaz et al. https://doi.org/10.1007/s13399-020-01154-6
2915. Soil mineralogical attributes estimated by color as accessed by proximal sensors and machine learning D. Baldo et al. https://doi.org/10.1002/saj2.20309
2916. A survey on missing data in machine learning T. Emmanuel et al. https://doi.org/10.1186/s40537-021-00516-9
2917. Machine Learning Models for Predicting the Compressive Strength of Concrete with Shredded PET Bottles and M-Sand as Fine Aggregate A. Nadimalla et al. https://doi.org/10.31436/iiumej.v26i1.2998
2918. Quality-Guaranteed and Cost-Effective Population Health Profiling: A Deep Active Learning Approach L. Chen et al. https://doi.org/10.1145/3617179
2919. Gully erosion susceptibility prediction in Mollisols using machine learning models Y. Wang et al. https://doi.org/10.2489/jswc.2023.00019
2920. 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
2921. 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
2922. 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
2923. Predicting Regional Outbreaks of Hepatitis A Using 3D LSTM and Open Data in Korea K. Lee et al. https://doi.org/10.3390/electronics10212668
2924. 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
2925. Symbolic regression-aided hyperparameter relationship for developing ANN for fragility prediction M. Parvizi et al. https://doi.org/10.1016/j.asoc.2025.113485
2926. Optimizing Sensor Placement and Wavelength Selection for Head-Mounted Photoplethysmography in Wearable Applications A. Alshehhi et al. https://doi.org/10.1109/JSEN.2026.3720430
2927. 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
2928. 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
2929. Analysis of sampling precision in low-density weed populations P. Hamouz & K. Hamouzová https://doi.org/10.1007/s11119-021-09851-6
2930. 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
2931. Hydrodynamic and ecological 3D modeling in tropical lakes L. Amorim et al. https://doi.org/10.1007/s42452-021-04272-6
2932. 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
2933. 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
2934. 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
2935. 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
2936. 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
2937. 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
2938. 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
2939. 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
2940. 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
2941. 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
2942. 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
2943. 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
2944. 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
2945. Molecular pretraining models towards molecular property prediction J. Qiao et al. https://doi.org/10.1007/s11432-024-4457-2
2946. 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
2947. 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
2948. 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
2949. 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
2950. Estimating GDP by Fusing Nighttime Light and Land Cover Data N. Xu et al. https://doi.org/10.1080/07038992.2024.2377641
2951. 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
2952. Hybrid Fuzzy Expert System and Difference Equation Software Filter for Biomedical Sensors A. Golcuk https://doi.org/10.1109/TIM.2022.3197803
2953. Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning I. Ebtehaj et al. https://doi.org/10.3390/su13148009
2954. 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
2955. 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
2956. 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
2957. 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
2958. 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
2959. 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
2960. TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms M. Patrick et al. https://doi.org/10.1051/matecconf/20178701006
2961. Field-Validated Accelerometer-Based Tension Estimation for Overhead Distribution Lines J. Kim https://doi.org/10.1109/TPWRD.2026.3697749
2962. 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
2963. Unraveling the enrichment mechanism of indium in sphalerite: Insights from causal machine learning and global geochemical data X. Zhao et al. https://doi.org/10.1016/j.chemgeo.2026.123696
2964. 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
2965. 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
2966. 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
2967. 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
2968. 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
2969. Numerical and Experimental Study on the Heat Dissipation Performance of a Novel System C. Yu et al. https://doi.org/10.3390/en13010106
2970. 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
2971. Forest optimal rotation and valuation under different stochastic prices Z. Yu et al. https://doi.org/10.1007/s10342-025-01847-5
2972. 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
2973. 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
2974. 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
2975. 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
2976. 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
2977. 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
2978. Application of supervised machine learning for predicting and classifying the lithology type of reservoir rock: the case study of Iraq M. Mohammedawi et al. https://doi.org/10.1007/s13202-026-02182-0
2979. Earthquake Risk Assessment Using Deep Learning and GIS-Based Hazard and Risk Mapping: A National-Scale Case Study in Italy S. Sonowal et al. https://doi.org/10.1109/ACCESS.2026.3748514
2980. 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
2981. Future precipitation patterns: investigating the IDF curve shifts under CMIP6 pathways M. Khan et al. https://doi.org/10.2166/hydro.2025.092
2982. 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
2983. 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
2984. A radiative cooling enhanced liquid desiccant-based atmospheric water harvesting device F. Xiao et al. https://doi.org/10.1016/j.energy.2026.140730
2985. 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
2986. 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
2987. Foreign arrivals nowcasting in Italy with Google Trends data F. Antolini & L. Grassini https://doi.org/10.1007/s11135-018-0748-z
2988. 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
2989. Influent Forecasting for Wastewater Treatment Plants in North America G. Boyd et al. https://doi.org/10.3390/su11061764
2990. 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
2991. 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
2992. 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
2993. 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
2994. 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
2995. 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
2996. Hybrid machine learning model for prediction of vertical deflection of composite bridges H. Ha et al. https://doi.org/10.1680/jbren.23.00007
2997. 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
2998. 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
2999. 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
3000. 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
3001. 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
3002. Forecasting Bitcoin Prices Using Deep Learning for Consumer-Centric Industrial Applications P. Roy et al. https://doi.org/10.1109/TCE.2023.3321653
3003. Thermal improvement of urban squares under spatial and functional constraints C. Wang et al. https://doi.org/10.1016/j.buildenv.2026.115053
3004. Real-Time Implicit Inverse Force Identification using Multi-Parameter Tikhonov Regularization to Attenuate Solution Error Propagation H. Baek et al. https://doi.org/10.1007/s42417-026-02776-2
3005. 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
3006. 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
3007. 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
3008. 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
3009. 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
3010. CCR: Facial Image Editing with Continuity, Consistency and Reversibility N. Yang et al. https://doi.org/10.1007/s11263-023-01938-z
3011. Extreme Atlantic Hurricane Probability of Occurrence Through the Metastatistical Extreme Value Distribution S. Hosseini et al. https://doi.org/10.1029/2019GL086138
3012. 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
3013. 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
3014. 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
3015. 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
3016. 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
3017. 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
3018. 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
3019. Nonintrusive Load Monitoring Using Recurrent Neural Networks with Occupants Location Information in Residential Buildings M. Lee & H. Moon https://doi.org/10.3390/en16093688
3020. 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
3021. 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
3022. 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
3023. 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
3024. 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
3025. 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
3026. 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
3027. An Analysis of Disability Groupings and Transition Planning Experiences E. Davenport et al. https://doi.org/10.1177/00224669211024593
3028. 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
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3180. On Solar Radiation Prediction for the East–Central European Region M. Mierzwiak et al. https://doi.org/10.3390/en15093153
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3182. Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities M. Thafar et al. https://doi.org/10.3389/fchem.2019.00782
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3193. Comparison of Urban Heat Island Diurnal Cycles under Various Atmospheric Conditions Using WRF-UCM T. Fedor & J. Hofierka https://doi.org/10.3390/atmos13122057
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3201. Modelling the Influence of Inflation on Foreign Travel Dynamics: A Comparative Analysis of Linear and Machine Learning Models E. C. A. & A. C. O. https://doi.org/10.52589/JARMS-QEBGPVMW
3202. Monitoring Hospital Visitors Could Enhance the Prediction of the Plastic Waste Collection Demand and Its Management R. Cong et al. https://doi.org/10.3390/waste3030023
3203. Seismic Hazards Along the Longmen Shan Fault: Insights from Stress Transfer Between Major Earthquakes and Regional b-Values Y. Sun et al. https://doi.org/10.1007/s00024-023-03357-0
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3207. ElectroPredictor: An Application to Predict Mayr’s Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms S. Cuesta et al. https://doi.org/10.1021/acs.jcim.2c01367
3208. Borsa İstanbul’da Kote Bireysel Emeklilik, Hayat Ve Hayat-Dışı Sigorta Şirketlerinin Hisse Senedi Fiyat Tahmininde Box-Jenkıns Yöntemi F. Kurt & S. Senal https://doi.org/10.25095/mufad.465942
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3218. Quantitative and qualitative evaluation on the accuracy of three intraoral scanners for human identification in forensic odontology E. Bae & E. Woo https://doi.org/10.5115/acb.21.136
3219. Predictive framework for detecting main bearing faults in direct-drive horizontal-axis wind turbines using supervisory control and data acquisition J. Liu et al. https://doi.org/10.1177/16878132261464392
3220. An Assessment of the Effectiveness of Tree-Based Models for Multi-Variate Flood Damage Assessment in Australia R. Hasanzadeh Nafari et al. https://doi.org/10.3390/w8070282
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3222. SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and MODIS Data Y. Xia et al. https://doi.org/10.1109/TGRS.2024.3352662
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3228. A Data-Driven Soft Sensor for Mass Flow Estimation S. Sobreira et al. https://doi.org/10.1109/TIM.2023.3273658
3229. Data-driven Root Tuber Biomass Estimation via a Wireless Network T. Wang et al. https://doi.org/10.1145/3800586
3230. A Historical Excursus on the Statistical Validation Parameters for QSAR Models: A Clarification Concerning Metrics and Terminology P. Gramatica & A. Sangion https://doi.org/10.1021/acs.jcim.6b00088
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3234. Development of Parameter-Tuned Algorithms for Chlorophyll-a Concentration Estimates in the Southern Ocean M. Cha et al. https://doi.org/10.3390/rs17213595
3235. NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture E. Koohikeradeh et al. https://doi.org/10.3390/su17062399
3236. An edge–cloud integrated framework for flexible and dynamic stream analytics X. Wang et al. https://doi.org/10.1016/j.future.2022.07.023
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3238. Effective cataract surgical coverage in adults aged 50 years and older: empirical estimates from population-based surveys in 68 countries and modelled estimates for 2000–30 I. McCormick et al. https://doi.org/10.1016/S2214-109X(25)00435-8
3239. Active temperature control of electric drivetrains for efficiency increase A. Wahl et al. https://doi.org/10.1016/j.apenergy.2023.120887
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3241. Artificial Neural Network Estimation of Sea Surface Temperature from Oceanographic Variables M. Umoh et al. https://doi.org/10.62292/njtep.v4i3.2026.171
3242. 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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3246. 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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3249. Measuring Detection of Signature On Enterprise Computer Network S. Alviana & I. Sumitra https://doi.org/10.1088/1757-899X/662/5/052008
3250. An empirical-based rainfall-runoff modelling using optimization technique B. Roy & M. Singh https://doi.org/10.1080/15715124.2019.1680557
3251. 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
3252. 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
3253. Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction S. Ghimire et al. https://doi.org/10.1007/s12559-022-10070-y
3254. 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
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3256. 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
3257. 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
3258. 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
3259. 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
3260. 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
3261. 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
3262. 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
3263. 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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3272. Dual-View Prompting for Cloud Removal Y. Deng et al. https://doi.org/10.1109/TGRS.2025.3614865
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3275. Drought Projections in the Northernmost Region of South America Under Different Climate Change Scenarios H. Arregocés et al. https://doi.org/10.3390/earth6040122
3276. 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
3277. 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
3278. 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
3279. Machine Learning Based Prediction of Nanoscale Ice Adhesion on Rough Surfaces S. Ringdahl et al. https://doi.org/10.3390/coatings11010033
3280. 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
3281. 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
3282. Artificial intelligence algorithms to predict Italian real estate market prices L. Rampini & F. Re Cecconi https://doi.org/10.1108/JPIF-08-2021-0073
3283. Design of Low-Cost High Accuracy Motion Capture System D. Kızılöz & M. Peker https://doi.org/10.65520/erciyesfen.1968365
3284. 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
3285. 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
3286. 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
3287. 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
3288. Supervised learning-based artificial senses for non-destructive fish quality classification R. Saeed et al. https://doi.org/10.1016/j.bios.2024.116770
3289. Multi-Pattern Scanning Mamba for Cloud Removal X. Xin et al. https://doi.org/10.3390/rs17213593
3290. Single-Band NDVI Spatial Downscaling: Synthetic Benchmarking and Landsat-8/Sentinel-2 Cross-Sensor Evaluation S. Yu et al. https://doi.org/10.3390/s26206601
3291. 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
3292. 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
3293. 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
3294. 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
3295. 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
3296. 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
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3298. 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
3299. 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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3301. 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
3302. Relative Radiometric Normalization for the PlanetScope Nanosatellite Constellation Based on Sentinel-2 Images R. Dias et al. https://doi.org/10.3390/rs16214047
3303. 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
3304. 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
3305. AI-based spatial prediction of mangrove soil organic carbon and blue-carbon storage for sustainable tropical coastal wetlands I. Mondal et al. https://doi.org/10.1016/j.ecohyd.2026.100814
3306. 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
3307. 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
3308. AI-Based Model Order Reduction Techniques: A Survey S. Mallick & M. Mittal https://doi.org/10.1007/s11831-024-10207-2
3309. 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
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3311. Simulation Analysis of Magnetic Gradient Full-Tensor Measurement System L. Xu et al. https://doi.org/10.1155/2021/6688364
3312. Forecasting nonperforming loans using machine learning M. Abdullah et al. https://doi.org/10.1002/for.2977
3313. 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
3314. Characterization of a Spiking Convolutional Processor for FPGA D. Curra-Sosa et al. https://doi.org/10.3390/s26061801
3315. 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
3316. 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
3317. 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
3318. Harnessing artificial neural networks for coastal erosion prediction: A systematic review A. Khan et al. https://doi.org/10.1016/j.marpol.2025.106704
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3320. 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
3321. Accelerated design for elastocaloric performance in NiTi-based alloys through machine learning X. Tian et al. https://doi.org/10.1063/5.0068290
3322. 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
3323. 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
3324. 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
3325. 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
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3327. 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
3328. Analog Design and Machine Learning: A Review K. Liakos & F. Plessas https://doi.org/10.3390/electronics14173541
3329. 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
3330. 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
3331. 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
3332. 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
3333. 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
3334. Prediction Uncertainty of Density Functional Approximations for Properties of Crystals with Cubic Symmetry P. Pernot et al. https://doi.org/10.1021/jp509980w
3335. 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
3336. 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
3337. Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects K. Jusseaume & I. Valova https://doi.org/10.3390/s22218112
3338. 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
3339. 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
3340. 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
3341. 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
3342. 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
3343. Prediction of Cooling Load of Tropical Buildings with Machine Learning G. Bekdaş et al. https://doi.org/10.3390/su15119061
3344. 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
3345. 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
3346. 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
3347. Quantification of river total phosphorus using integrative artificial intelligence models S. Kim et al. https://doi.org/10.1016/j.ecolind.2023.110437
3348. Skill of CMIP5 models in simulating rainfall over Malawi B. Libanda & N. Nkolola https://doi.org/10.1007/s40808-019-00611-0
3349. 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
3350. 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
3351. Application of Digital Twins to Overhead Line Conductors M. Markovits et al. https://doi.org/10.3390/metrology6040071
3352. 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
3353. 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
3354. 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
3355. Dynamic Production Order Allocation for Distributed Additive Manufacturing I. Sousa Agostino et al. https://doi.org/10.1016/j.ifacol.2020.12.2832
3356. Machine learning to predict refractory corrosion during nuclear waste vitrification N. Smith-Gray et al. https://doi.org/10.1557/s43580-021-00031-2
3357. 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
3358. 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
3359. Towards robust smart data-driven soil erodibility index prediction under different scenarios A. Shirzadi et al. https://doi.org/10.1080/10106049.2022.2076918
3360. 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
3361. 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
3362. Energy yield, degradation and economics of reflector-enhanced floating and land-based photovoltaics K. Polychronakis et al. https://doi.org/10.1016/j.solener.2026.115307
3363. 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
3364. 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
3365. 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
3366. 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
3367. 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
3368. Seismically Induced Liquefaction Potential Assessment by Different Artificial Intelligence Procedures D. Kumar et al. https://doi.org/10.1007/s40515-023-00327-w
3369. 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
3370. 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
3371. 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
3372. 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
3373. 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
3374. 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
3375. Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete D. Dao et al. https://doi.org/10.3390/ma12060983
3376. Handling Missing Values Based on Similarity Classifiers and Fuzzy Entropy Measures F. Karim et al. https://doi.org/10.3390/electronics11233929
3377. 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
3378. 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
3379. 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
3380. 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
3381. 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
3382. 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
3383. CO2 Emisyonu ve Birincil Enerji Tüketimi Arasındaki İlişkinin Kantil Regresyon Modeli ile İncelenmesi H. AKYÜZ https://doi.org/10.29130/dubited.1076185
3384. 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
3385. 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
3386. 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
3387. Comparison of growth curve models for Ongole Grade cattle Y. Adinata et al. https://doi.org/10.1007/s11250-022-03254-z
3388. 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
3389. 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
3390. Time Series Prediction Based on Multi-Scale Feature Extraction R. Zhang & Y. Hao https://doi.org/10.3390/math12070973
3391. 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
3392. 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
3393. 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
3394. Effect of heat and moisture transfer on the growth of mould on the inner surface of walls: A case study in Dalian of China Y. Lv et al. https://doi.org/10.1007/s12273-020-0666-6
3395. 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
3396. Simulating field-scale variability and precision management with a 3D hydrologic cropping systems model N. Ward et al. https://doi.org/10.1007/s11119-017-9517-6
3397. Automated Labeling of Movement- Related Cortical Potentials Using Segmented Regression U. Rashid et al. https://doi.org/10.1109/TNSRE.2019.2913880
3398. Efecto del refinamiento de la descripción de la rugosidad en una aproximación 2D para un río de montaña: un caso de estudio J. Cedillo Galarza et al. https://doi.org/10.17163/lgr.n33.2021.08
3399. A Maieutic Exploration of Nudging Strategies for Regional Climate Applications Using the WRF Model T. Spero et al. https://doi.org/10.1175/JAMC-D-17-0360.1
3400. Closed-Form Models of Accuracy Loss due to Subsampling in SVD Collaborative Filtering S. Poudel & M. Bikdash https://doi.org/10.26599/BDMA.2022.9020024
3401. A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure C. Chen et al. https://doi.org/10.1016/j.bspc.2021.102433
3402. Artificial intelligence prediction algorithms for refractive error onset and progression in children and adolescents: A systematic review and meta‐analysis A. Sandali et al. https://doi.org/10.1111/aos.70207
3403. Storm Surge Modeling in Large Estuaries: Sensitivity Analyses to Parameters and Physical Processes in the Chesapeake Bay J. Garzon & C. Ferreira https://doi.org/10.3390/jmse4030045
3404. HCLmNet: A unified hybrid continual learning strategy multimodal network for lung cancer survival prediction M. Bappi et al. https://doi.org/10.1371/journal.pone.0316509
3405. Estimating Annual Wildfire-Related Potential Above-Ground Biomass Loss in Eastern Canadian Boreal Forests Using Multi-Source Remote Sensing and XGBoost H. Mahmoudi Meimand et al. https://doi.org/10.3390/rs18173022
3406. Interpretation and diagnosis of fouling progress in membrane bioreactor plants using a periodic pattern recognition method K. Nam et al. https://doi.org/10.1007/s11814-017-0197-8
3407. Reply on “Reply to comment on Important notes on parameter estimation of solar photovoltaic cell”, by Gnetchejo et al. [Energy Conversion and Management, https://doi.org/10.1016/ j.enconman.2019.111870] D. Yousri et al. https://doi.org/10.1016/j.enconman.2019.112234
3408. Trading Off Scalability, Privacy, and Performance in Data Synthesis X. Ling et al. https://doi.org/10.1109/ACCESS.2024.3366556
3409. Developing machine learning models for predicting daily relative humidity and solar radiation using lagged time series data inputs in a semi-arid climate J. Rajput et al. https://doi.org/10.1016/j.jastp.2025.106619
3410. Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China L. Yang et al. https://doi.org/10.1007/s00704-018-2598-y
3411. Evaluation of Table Grape Flavor Based on Deep Neural Networks Z. Liu et al. https://doi.org/10.3390/app13116532
3412. Unmixing marsh vegetation species across multiple sensors and spatial scales Z. Yang et al. https://doi.org/10.1080/15481603.2025.2481689
3413. Selecting appropriate machine learning methods for digital soil mapping Y. Khaledian & B. Miller https://doi.org/10.1016/j.apm.2019.12.016
3414. A Hybrid System for Automated Assessment of Korean L2 Writing: Integrating Linguistic Features with LLM W. Hur & B. Ji https://doi.org/10.3390/systems13100851
3415. Deep Learning Improves Planting Year Estimation of Macadamia Orchards in Australia A. Clark et al. https://doi.org/10.3390/agriculture15222346
3416. An Improved PV Output Forecasting Model by Using Weight Function: A Case Study in Cambodia S. Kittisontirak et al. https://doi.org/10.1155/2016/2616750
3417. Validation of age estimation methods through the scapula in a Mediterranean non-adult population M. Nogueras López et al. https://doi.org/10.1007/s00414-024-03192-5
3418. Exploring biophysical links of catch rate from mid-water trawl fishery in the north-west coast of India, Eastern Arabian Sea: A remote sensing approach P. Azeez et al. https://doi.org/10.1016/j.scitotenv.2023.163975
3419. Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search Y. Li et al. https://doi.org/10.1016/j.eswa.2025.127591
3420. New approach to evaluating predictive models of photovoltaic systems P. Dobreva et al. https://doi.org/10.1016/j.solener.2020.04.028
3421. Comparison of collision dynamics of soccer balls with energy dissipation method A. Tunçel et al. https://doi.org/10.1177/17543371241237589
3422. Evaluation of General Circulation Models over the Upper Ouémé River Basin in the Republic of Benin A. Attogouinon et al. https://doi.org/10.3390/hydrology7010011
3423. Coupled model on the variation of diffusion coefficient and surface chloride concentration in reinforced concrete structures over time T. Reichert et al. https://doi.org/10.1016/j.conbuildmat.2023.134715
3424. Comparing high-resolution snow mapping approaches in palsa mires: UAS lidar vs. modelling A. Störmer et al. https://doi.org/10.5194/tc-19-3949-2025
3425. Hybrid Machine Learning-Geostatistical Framework for Sustainable Spatiotemporal Temperature Forecasting N. Iqbal et al. https://doi.org/10.3390/su18147193
3426. Numerical Study and Geometrical Investigation of an Onshore Overtopping Device Wave Energy Converter with a Seabed Coupled Structure A. de Barros et al. https://doi.org/10.3390/jmse11020412
3427. An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys S. Zadeh et al. https://doi.org/10.1016/j.commatsci.2023.112225
3428. Empirical Validation of a Multidirectional Ultrasonic Pedestrian Detection System for Heavy-Duty Vehicles Under Adverse Weather Conditions H. Jeong & J. Kim https://doi.org/10.3390/s25175287
3429. A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling J. Tuttle et al. https://doi.org/10.1016/j.apenergy.2021.116886
3430. A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste M. Zaki et al. https://doi.org/10.1021/acsestengg.3c00043
3431. Multi-Method Explainable AI Framework for Quantifying Traffic and Meteorological Contributions to Urban Air Pollution: A Case Study of Istanbul’s Bosphorus Bridge Corridor E. Birinci et al. https://doi.org/10.3390/atmos17060591
3432. Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis Z. Yaseen et al. https://doi.org/10.3390/w11030502
3433. What is the Accuracy of PEEK Implants for Cranioplasty in Comparison to Their Patient Specific Surgical Plan? A. Wandell et al. https://doi.org/10.1016/j.joms.2022.09.004
3434. River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network S. Meshram et al. https://doi.org/10.1007/s00500-018-3598-7
3435. Uncertainty propagation in a modelling chain of climate change impact for a representative French drainage site A. Jeantet et al. https://doi.org/10.1080/02626667.2023.2203322
3436. Predicting fetal health using ANFIS: A comparative study with machine learning models J. Sade https://doi.org/10.31127/tuje.1711661
3437. The influence of sample size on two approaches to estimate Black Grouse Lyrurus tetrix population size using non‐invasive sampling methods M. Haider et al. https://doi.org/10.1111/ibi.13229
3438. Coupling GIS with Stormwater Modelling for the Location Prioritization and Hydrological Simulation of Permeable Pavements in Urban Catchments D. Jato-Espino et al. https://doi.org/10.3390/w8100451
3439. Investigation of the effects of various parameters on wireless power transfer efficiency M. Yilmaz et al. https://doi.org/10.1016/j.aeue.2025.155723
3440. CaPITeN: Design and validation of an innovative methodology for thermal and visual comfort assessment in tropical climates T. Rakotoarivelo & B. Malet-Damour https://doi.org/10.1016/j.buildenv.2026.114777
3441. Electronic structure–performance relationship in pyridine-based Schiff bases: a dual experimental–DFT study on corrosion inhibition Q. Yousif & M. Bedair https://doi.org/10.1039/D6RA05353J
3442. Predicting the Path of Insurgency: Data-Driven Strategies to Counter Boko Haram in Nigeria J. Braimah et al. https://doi.org/10.12688/f1000research.153978.1
3443. Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea I. Seo et al. https://doi.org/10.1371/journal.pone.0321530
3444. Effects of complex terrain on net surface longwave radiation in China X. Zhu et al. https://doi.org/10.1007/s00704-017-2272-9
3445. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation D. Chicco et al. https://doi.org/10.7717/peerj-cs.623
3446. SHAP-based explainable machine learning for district-wise real-time water quality monitoring in bihar using IoT sensors Z. Afshan et al. https://doi.org/10.1088/2631-8695/ae5ec0
3447. A non destructive testing method for masonry by using UPV and cross validation procedure E. Vasanelli et al. https://doi.org/10.1617/s11527-020-01568-8
3448. MODIS Evapotranspiration Forecasting Using ARIMA and ANN Approach at a Water-Stressed Irrigation Scheme in South Africa M. Phesa et al. https://doi.org/10.3390/hydrology11100176
3449. Evaluating the Traffic Noise Levels at Median U-Turns under Heterogeneous Traffic Conditions in Makassar City M. Hustim et al. https://doi.org/10.48084/etasr.11378
3450. Simulation-Driven Deep Transfer Learning Framework for Data-Efficient Prediction of Physical Experiments S. Lim et al. https://doi.org/10.3390/math13233884
3451. Modelling Cloud Cover Climatology over Tropical Climates in Ghana F. Dogbey et al. https://doi.org/10.3390/atmos13081265
3452. dSPACE Controller-Based Enhanced Piezoelectric Energy Harvesting System Using PI-Lightning Search Algorithm M. Sarker et al. https://doi.org/10.1109/ACCESS.2018.2888912
3453. Data-driven prediction in coloring of stainless steel 304 using random forest algorithm A. Al-Hamaoy et al. https://doi.org/10.1016/j.rineng.2026.114001
3454. A hybrid data-driven methodology for forecasting normal and extreme electricity prices S. Loizidis et al. https://doi.org/10.1016/j.egyai.2026.100916
3455. Machine-learning-based prediction of early-age compressive strength of ultra-high-performance concrete using ultrasonic pulse velocity and rebound hammer H. Wu et al. https://doi.org/10.1016/j.conbuildmat.2026.147023
3456. Performance assessment of CORDEX regional climate models in wind speed simulations over Zambia B. Libanda https://doi.org/10.1007/s40808-022-01504-5
3457. How accurate is accurate enough? Assessing the influence of exposure data quality on tsunami damage modelling using the 2011 Tōhoku tsunami C. Geiß et al. https://doi.org/10.1016/j.pdisas.2026.100765
3458. Hybrid prediction strategy to predict agricultural information K. Aditya Shastry & H. Sanjay https://doi.org/10.1016/j.asoc.2020.106811
3459. Development of a Short-Form Stroke Impact Scale Using a Machine Learning Algorithm for Patients at the Subacute Stage S. Lee et al. https://doi.org/10.5014/ajot.2022.049136
3460. UAV multi-source data fusion with super-resolution for accurate soybean leaf area index estimation Z. Zhao et al. https://doi.org/10.3389/fpls.2025.1700660
3461. POINT-BY-POINT AND COMPLEX QUALITY METRICS IN ATMOSPHERE AND OCEAN RESEARCH: REVIEW OF METHODS AND APPROACHES V. Rezvov et al. https://doi.org/10.29006/1564-2291.JOR-2024.52(4).10
3462. Harnessing the power of transformers and data fusion in smart irrigation B. Deforce et al. https://doi.org/10.1016/j.asoc.2024.111246
3463. Habitat quality on the edge of anthropogenic pressures: Predicting the impact of land use changes in the Brazilian Upper Paraguay river Basin M. Broquet et al. https://doi.org/10.1016/j.jclepro.2024.142546
3464. Assessing the impact of climate change on groundwater level changes using ensemble models S. Afrifa et al. https://doi.org/10.1007/s40899-025-01245-0
3465. A surrogate-based inverse design framework for targeted diameter control of electrospun nanofibers M. Mahdian et al. https://doi.org/10.1038/s41598-026-40692-3
3466. Comparative study of PV power forecast using parametric and nonparametric PV models M. Almeida et al. https://doi.org/10.1016/j.solener.2017.07.032
3467. Numerical Study and Parametric Insights of Mechanized Shaft Excavation in Soft Clay S. Rivera et al. https://doi.org/10.3390/buildings16102045
3468. AIM5LA: A Latency-Aware Deep Reinforcement Learning-Based Autonomous Intersection Management System for 5G Communication Networks G. Antonio & C. Maria-Dolores https://doi.org/10.3390/s22062217
3469. MHA-SVR: An Adaptive Soft Sensor Based on Feature Interaction for Ultrasonic Phytomedicine Extraction Y. Yue et al. https://doi.org/10.2174/0115680266356325250510064641
3470. Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models O. Katipoğlu & M. Sarıgöl https://doi.org/10.1007/s00477-023-02389-1
3471. Trivariate Probabilistic Assessments of the Compound Flooding Events Using the 3-D Fully Nested Archimedean (FNA) Copula in the Semiparametric Distribution Setting S. Latif & S. Simonovic https://doi.org/10.1007/s11269-023-03448-6
3472. Quantitative determination for multiple indicators of lard using machine learning and Raman spectroscopy: A PCA-KNN-based framework with automated optimization of hyperparameters Z. Ma et al. https://doi.org/10.1016/j.foodcont.2025.111813
3473. ALRC: A Novel Adaptive Linear Regression Based Classification for Grade based Student Learning using Radio Frequency Identification P. Arulmozhi et al. https://doi.org/10.1007/s11277-020-07141-4
3474. Effectiveness of statistical and soft computing techniques in predicting slake durability index of sedimentary rocks in Chotanagpur Plateau in India – A case study A. Kumar et al. https://doi.org/10.1007/s10064-026-04868-5
3475. Analysis & forecasting of juvenile crime using variance threshold and time series algorithm H. Jain & R. Patel https://doi.org/10.1007/s11042-024-19780-x
3476. Understanding green house gases emission dynamics from forest fires in Thailand using predictive models F. Shahzad et al. https://doi.org/10.1016/j.gloplacha.2025.105236
3477. Multi-Objective Optimization of Petroleum Engineering Problems Using a Hybrid Workflow: Combination of Combination of Particle Swarm Optimization, Fuzzy Logic, Imperialist Competitive Algorithm and Response Surface Methodology M. Karambeigi et al. https://doi.org/10.2139/ssrn.4170655
3478. Application of meta-heuristic hybrid models in estimating the average air temperature of Caspian sea coast of Iran H. Babaali et al. https://doi.org/10.1016/j.envc.2024.101039
3479. A fog-assisted group-based truth discovery framework over mobile crowdsensing data streams B. Alamri et al. https://doi.org/10.1371/journal.pone.0330656
3480. Assessment and validation of two prediction models of MUF in China Q. Yu et al. https://doi.org/10.1016/j.asr.2026.05.027
3481. Irregularly sampled seismic data interpolation via wavelet-based convolutional block attention deep learning Y. Lou et al. https://doi.org/10.1016/j.aiig.2022.12.001
3482. Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System F. Xie et al. https://doi.org/10.3390/su16093823
3483. Multi-horizon hourly air temperature forecasting over Lake Van using classical, machine learning, and transformer-based models: a comparative benchmark with statistical significance testing M. Güneş https://doi.org/10.1007/s10651-026-00746-1
3484. Quantifying physical degradation alongside recording and stimulation performance of 980 intracortical microelectrodes chronically implanted in three humans for 956-2130 days D. Bjånes et al. https://doi.org/10.1016/j.actbio.2025.02.030
3485. Drainage Duration Variability and PALSAR-2 Sensitivity to Rice-Field Water Status: Insights from Large-Scale In Situ Water-Level Observations X. Jin et al. https://doi.org/10.3390/rs18132136
3486. Generative machine learning for skilful 3D radar nowcasting J. Wan et al. https://doi.org/10.1038/s41612-026-01407-7
3487. A hybrid time series forecasting model combining recurrent neural networks and ensemble learning for furniture sales prediction O. Şahin & B. Çubukçu https://doi.org/10.1016/j.asej.2026.104219
3488. A comparative analysis of biomass torrefaction severity index prediction from machine learning W. Chen et al. https://doi.org/10.1016/j.apenergy.2022.119689
3489. An exploratory analysis of regression methods for predicting faults in software systems S. Rathore https://doi.org/10.1007/s00500-021-06048-x
3490. Impact of Environmental Conditions on Renewable Energy Prediction: An Investigation Through Tree-Based Community Learning F. Doğan et al. https://doi.org/10.3390/app15010336
3491. Comparative Study of Multi-Objective Optimization Processes for Building Performance Y. Lu et al. https://doi.org/10.3390/buildings16214192
3492. Multiscale Spatial–Spectral Invertible Compensation Network for Hyperspectral Remote Sensing Image Denoising H. Li et al. https://doi.org/10.1109/TGRS.2024.3457010
3493. A two-layer elasto-visco-plastic rheological model for the material parameter identification of bone tissue A. Reisinger et al. https://doi.org/10.1007/s10237-020-01329-0
3494. Assessment of Leachate Production from a Municipal Solid-Waste Landfill through Water-Balance Modeling S. Beck-Broichsitter et al. https://doi.org/10.3390/geosciences8100372
3495. Research on quality control methods for surface temperature observations via spatial correlation analysis X. Xiong et al. https://doi.org/10.1002/joc.7897
3496. Comparison of random forest and support vector machine regression models for forecasting road accidents A. Gatera et al. https://doi.org/10.1016/j.sciaf.2023.e01739
3497. Machine learning investigation of chemical disorder effects in 24-valence-electron full-Heusler alloys with single magnetic element Y. Guo et al. https://doi.org/10.1016/j.jmmm.2025.173322
3498. The Data-Driven Modeling of Pressure Loss in Multi-Batch Refined Oil Pipelines with Drag Reducer Using Long Short-Term Memory (LSTM) Network S. Wang et al. https://doi.org/10.3390/en14185871
3499. Machine-learning models for predicting CO2 solubility in various brine systems: implications for carbon geo-storage S. Davoodi et al. https://doi.org/10.1016/j.molliq.2025.128122
3500. The impact of SDG information on equality, sustainability behaviors, and sustainable entrepreneurial intention: A hybrid SEM–ANN approach L. Cabeza-Ramírez et al. https://doi.org/10.1016/j.ijme.2026.101474
3501. Solar irradiance prediction with variable time lengths and multi-parameters in full climate conditions based on photovoltaic greenhouse Y. Zhu et al. https://doi.org/10.1016/j.enconman.2024.118758
3502. EU Net-Zero Policy Achievement Assessment in Selected Members through Automated Forecasting Algorithms C. Tudor & R. Sova https://doi.org/10.3390/ijgi11040232
3503. An Investigation into the Applicability of the SHUD Model for Streamflow Simulation Based on CMFD Meteorological Data in the Yellow River Source Region T. Bu et al. https://doi.org/10.3390/w16243583
3504. Regression applied to legal judgments to predict compensation for immaterial damage T. Dal Pont et al. https://doi.org/10.7717/peerj-cs.1225
3505. A novel blocked based U-Net model for image steganography A. Sk et al. https://doi.org/10.1007/s11042-025-20952-6
3506. Drive System Inverter Modeling Using Symbolic Regression M. Glučina et al. https://doi.org/10.3390/electronics12030638
3507. Unified 3E modeling and capacity planning for micro-energy systems J. Chen et al. https://doi.org/10.1016/j.energy.2026.140349
3508. The Feasibility Surface: Mapping the Landscape of Run-of-River Hydropower Potential G. Alcalá et al. https://doi.org/10.3390/en19153568
3509. How to best map greenery from a human perspective? Comparing computational measurements with human perception J. Torkko et al. https://doi.org/10.3389/frsc.2023.1160995
3510. A computational framework for analyzing urban data usage patterns in African cities: a 25-year data-driven review using natural language processing and machine learning R. Azmi et al. https://doi.org/10.1016/j.cacint.2026.100296
3511. Effects of Tire Dynamics on Vehicle Safety: A Simulation-Driven Comparison of New and Service-Aged Tires Under Variable Inflation Pressures and Loads M. Karpenko et al. https://doi.org/10.3390/machines14091002
3512. Kriging-based approach to predict missing air temperature data A. Shtiliyanova et al. https://doi.org/10.1016/j.compag.2017.09.033
3513. Impact of Sustainable Development and Environmental Protection on the Volume of Domestic Hard Coal Sales in Poland A. Rybak & E. Włodarczyk https://doi.org/10.3390/en15020443
3514. Development of a modified Green–Ampt model considering the unsaturated zone Y. Li et al. https://doi.org/10.1016/j.biosystemseng.2025.104174
3515. Automated and manual model creation workflows are equally reliable for virtual mechanical testing of ovine bone and fracture healing M. Bahrami et al. https://doi.org/10.1038/s41598-025-32307-0
3516. A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects Y. Himeur et al. https://doi.org/10.1016/j.inffus.2021.02.002
3517. Research on a Real-Time Estimation Method of Vehicle Sideslip Angle Based on EKF W. Sun et al. https://doi.org/10.3390/s22093386
3518. A Comparative Study of Single and Multi-Stage Forecasting Algorithms for the Prediction of Electricity Consumption Using a UK-National Health Service (NHS) Hospital Dataset A. Taha et al. https://doi.org/10.3390/fi15040134
3519. Integrated Machine Learning and Health Risk Assessment for Groundwater Nitrate Contamination in Handan City, China Y. Zhao et al. https://doi.org/10.3390/w18101174
3520. Deciphering the mechanisms of arsenic adsorption on MOF membranes via a machine learning framework incorporating attention mechanisms Y. Wu et al. https://doi.org/10.1016/j.jece.2026.124452
3521. Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing J. Tang et al. https://doi.org/10.1109/TKDE.2021.3054409
3522. An electricity load forecasting model based on multilayer dilated LSTM network and attention mechanism Y. Wang et al. https://doi.org/10.3389/fenrg.2023.1116465
3523. Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis S. Kashinath et al. https://doi.org/10.1109/ACCESS.2021.3069770
3524. Estimating evaporation in diverse iranian climates using hybrid metaheuristic algorithms and ANN H. Babaali et al. https://doi.org/10.1007/s13762-025-06975-4
3525. Analyzing the dynamic behavior and market efficiency of green energy investments: A geometric and fractional brownian motion approach M. Bozkurt et al. https://doi.org/10.1080/15567249.2025.2457438
3526. iSIM-Sigma: Efficient Standard Deviation Calculation for Molecular Similarity K. Lopez-Perez et al. https://doi.org/10.1021/acs.jcim.5c00894
3527. Urban meteorological forcing data for building energy simulations Y. Tang et al. https://doi.org/10.1016/j.buildenv.2021.108088
3528. Machine Learning Methods for Predicting the Performance of Cold‐Formed Steel Sections: A State‐of‐the‐Art Review G. Iyappan & P. Sangeetha https://doi.org/10.1002/tal.70079
3529. Multi-Objective Constrained Constellation Design and Characterization for Cislunar Space Object Tracking C. Chan & S. Singh https://doi.org/10.2514/1.A36646
3530. Ammonia emissions from livestock facilities around an international airport, Tehran, Iran: An experimental and mathematical study G. Asadollahfardi et al. https://doi.org/10.1002/ep.14359
3531. Explainable artificial intelligence for machine learning prediction of bandgap energies T. Masuda & K. Tanabe https://doi.org/10.1063/5.0226151
3532. Modeling hybrid nanofluid density using machine learning algorithms S. Uslu & A. Kocer https://doi.org/10.1007/s10973-026-15981-8
3533. Machine learning downscaling of satellite derived land surface temperature in the historic urban heritage area of São João del-Rei Brazil J. Neto et al. https://doi.org/10.1007/s44327-026-00318-9
3534. Adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) modelling of Cu, Cd, and Pb adsorption onto tropical soils B. Agbaogun et al. https://doi.org/10.1007/s11356-022-24296-8
3535. Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysis Y. Tao & Y. Tang https://doi.org/10.1007/s12650-022-00879-y
3536. How Wave‐Induced Forced Disturbance Affects the Stability of Variable‐Speed Seawater Pumped Storage Units: Stability Mechanism and Control Optimisation M. Li et al. https://doi.org/10.1049/rpg2.70386
3537. Backcasting and forecasting stabilized soil mechanical properties for mechanistic-empirical pavement design A. Carey & I. Howard https://doi.org/10.1016/j.conbuildmat.2022.126645
3538. Novel hybrid deep-long short-term memory and machine learning algorithms for the crack-healing estimation of eco-friendly engineered cementitious composites C. Kina & H. Tanyildizi https://doi.org/10.1016/j.asoc.2026.115277
3539. A probabilistic integration of LSTM and Gaussian process regression for uncertainty-aware reservoir water level predictions K. Tandon & S. Sen https://doi.org/10.1080/02626667.2024.2428428
3540. Influence of aviation low-pressure environment on the aging behavior and thermal safety of lithium titanate batteries X. Tao et al. https://doi.org/10.1016/j.est.2025.115488
3541. Low-Light and Infrared Multimodal Remote Sensing in Nighttime Rescue Mission: A Review of Anomaly Detection Methods Y. Wan et al. https://doi.org/10.1109/TGRS.2025.3568456
3542. Integrating optimization and machine learning for estimating water resistivity and saturation in shaley sand reservoirs M. Hameedy et al. https://doi.org/10.1038/s41598-026-36133-w
3543. Using Fuzzy Inference Systems for the Creation of Forex Market Predictive Models A. Hernandez-Aguila et al. https://doi.org/10.1109/ACCESS.2021.3077910
3544. Predicting the particle-agglomeration effect on the equivalent mechanical properties of dispersion nuclear fuel by machine learning Y. Dong et al. https://doi.org/10.1016/j.jnucmat.2023.154697
3545. A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff A. Aieb et al. https://doi.org/10.3390/s22093241
3546. Cepair: an AI-powered and fog-based predictive CEP system for air quality monitoring M. Şimsek et al. https://doi.org/10.1007/s10586-024-04434-2
3547. Organic carbon dominates soil porosity across environmental gradients, with organic carbon–clay metrics providing secondary insight A. Thomas et al. https://doi.org/10.1016/j.catena.2026.110657
3548. Forecasting for Battery Storage: Choosing the Error Metric C. Singleton & P. Grindrod https://doi.org/10.3390/en14196274
3549. Optimized Dissolved Oxygen Prediction Using Genetic Algorithm and Bagging Ensemble Learning for Smart Fish Farm P. Khan & Y. Byun https://doi.org/10.1109/JSEN.2023.3278719
3550. Deep learning-driven ultra-stretchable kirigami metamaterials: towards surface texture modulation via buckling Y. Zhang et al. https://doi.org/10.1039/D5SM00933B
3551. Evaluation of diffusion and Henry's coefficients of CO2 absorption using Response Surface Methodology and Artificial Neural Network models D. Behvandi et al. https://doi.org/10.1016/j.cscee.2024.100723
3552. Effects of Non-Uniform Data Coverage on Deep Neural Network-Based Scramjet Performance Prediction Â. Paulino et al. https://doi.org/10.1590/jatm.v18.1439
3553. A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products P. Ananias et al. https://doi.org/10.3390/rs14174283
3554. Ordinary kriging as a data augmentation technique for enhanced total dissolved solids prediction in tropical wetlands using Sentinel-2 and machine learning D. Mejia Ávila et al. https://doi.org/10.1080/01431161.2026.2612850
3555. Mathematical modeling for solute transport in aquifer M. Singh et al. https://doi.org/10.2166/hydro.2015.034
3556. Machine Learning Models Applied to Manage the Operation of a Simple SWRO Desalination Plant and Its Application in Marine Vessels G. Marichal Plasencia et al. https://doi.org/10.3390/w13182547
3557. 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
3558. 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
3559. Ensemble of steerable local neighbourhood grey-level information for binarization F. Kasmin et al. https://doi.org/10.1016/j.patrec.2017.07.014
3560. 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
3561. 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
3562. Estimating runtime of a job in Hadoop MapReduce N. Peyravi & A. Moeini https://doi.org/10.1186/s40537-020-00319-4
3563. 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
3564. 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
3565. Predicting Swarm Equatorial Plasma Bubbles via Machine Learning and Shapley Values S. Reddy et al. https://doi.org/10.1029/2022JA031183
3566. 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
3567. 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
3568. 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
3569. CR-former: Single-Image Cloud Removal With Focused Taylor Attention Y. Wu et al. https://doi.org/10.1109/TGRS.2024.3506780
3570. 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
3571. 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
3572. 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
3573. Temporal effects on glare response from daylight M. Kent et al. https://doi.org/10.1016/j.buildenv.2016.09.002
3574. 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
3575. A Transformer-Based Deep Diffusion Model for Bulk RNA-Seq Deconvolution Y. Liu et al. https://doi.org/10.3390/biology14091150
3576. Evaluating the impact of multivariate imputation by MICE in feature selection M. Mera-Gaona et al. https://doi.org/10.1371/journal.pone.0254720
3577. 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
3578. 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
3579. 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
3580. 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
3581. 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
3582. 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
3583. 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
3584. 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
3585. Machine learning strategies for predicting techno-functional properties of insect–plant ingredient blends A. Brena-Melendez et al. https://doi.org/10.1016/j.lwt.2026.119965
3586. A Novel Telescopic Cartesian Manipulator for Kiwifruit Harvesting with Hybrid Model–Vision Error Compensation B. Jia et al. https://doi.org/10.3390/agriculture16151673
3587. How urban surface and morphological features shape air and surface temperatures disparities: a spatiotemporal investigation in Hong Kong S. Li et al. https://doi.org/10.1016/j.cacint.2026.100453
3588. Long short-term memory for predicting daily suspended sediment concentration K. Kaveh et al. https://doi.org/10.1007/s00366-019-00921-y
3589. 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
3590. 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
3591. 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
3592. 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
3593. 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
3594. 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
3595. Parametric Analysis of a Dual-Fluid Air–Refrigerant BIPV/T Façade Concept B. Nghana et al. https://doi.org/10.3390/en19194697
3596. 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
3597. 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
3598. 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
3599. 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
3600. 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
3601. 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
3602. 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
3603. 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
3604. 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
3605. 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
3606. Integrated Hydrological Analysis of Little Akaki Watershed Using SWAT-MODFLOW, Ethiopia M. Tolera & I. Chung https://doi.org/10.3390/app11136011
3607. 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
3608. 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
3609. 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
3610. 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
3611. Machine learning and Monte Carlo simulation for hybrid shielding materials F. Eki̇nci̇ et al. https://doi.org/10.1016/j.radphyschem.2026.114361
3612. Software tooling support for atmospheric dispersion modeling of the AERMOD system A. Borges et al. https://doi.org/10.1016/j.envsoft.2026.107079
3613. 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
3614. 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
3615. 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
3616. 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
3617. 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
3618. 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
3619. 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
3620. 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
3621. 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
3622. 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
3623. A Singh-Based Fuzzy Logic Framework for Short-Term Discharge and Flood Peak Prediction Under Data-Scarce Hydrological Conditions M. Khazaeiathar & B. Schmalz https://doi.org/10.3390/hydrology13090238
3624. 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
3625. Maize yield prediction using machine learning: a systematic literature review J. Nyengere et al. https://doi.org/10.3389/frai.2026.1735157
3626. 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
3627. Sales Forecasting for New Products Using Homogeneity-Based Clustering and Ensemble Method S. Hwang et al. https://doi.org/10.3390/electronics14030520
3628. GRACE Downscaling and Machine Learning Models for Groundwater Prediction: A Systematic Review M. Al Nadabi et al. https://doi.org/10.3390/hydrology13050135
3629. 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
3630. 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
3631. Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm M. Su et al. https://doi.org/10.3390/en12061094
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3784. Goal or Miss? A Bernoulli Distribution for In-Game Outcome Prediction in Soccer W. Yao et al. https://doi.org/10.3390/e24070971
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3802. Remotely Sensed Boro Rice Production Forecasting Using MODIS-NDVI: A Bangladesh Perspective B. Faisal et al. https://doi.org/10.3390/agriengineering1030027
3803. The Comparison of the ANN and SVM Methods for the Prediction of Voltage Drop on a Subway Line i. KOCAARSLAN et al. https://doi.org/10.29137/umagd.352946
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3808. Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review H. Tang et al. https://doi.org/10.3390/photonics10020198
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3813. On the Efficacy of ARFIMA, ARTFIMA, and MARFIMA Models in Forecasting Nigerian Crude Oil Prices M. Tasi’u et al. https://doi.org/10.56919/usci.2543.021
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3876. Fault Diagnosis of Wind Turbine Generators Based on Stacking Integration Algorithm and Adaptive Threshold Z. Tang et al. https://doi.org/10.3390/s23136198
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3881. 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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3883. Analysis of Precipitation Totals Based on Radar and Rain Gauge Data K. Dzwonkowski et al. https://doi.org/10.3390/rs17132157
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3888. Improving the Accuracy of Water Storage Anomaly Trends Based on a New Statistical Correction Hydrological Model Weighting Method Q. Wang et al. https://doi.org/10.3390/rs13183583
3889. Integration of WRF-Chem Model-Based, Satellite-Based, and Ground-Based Observation Data to Predict PM2.5 Concentration by Machine Learning Approach S. Chimla et al. https://doi.org/10.3390/atmos16111304
3890. Root mean square error or mean absolute error? Use their ratio as well D. Karunasingha https://doi.org/10.1016/j.ins.2021.11.036
3891. Product Design Incorporating Competition Relations: A Network-Based Design Framework Considering Local Dependencies Y. Xiao et al. https://doi.org/10.1115/1.4066426
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3893. Bessel-beam-assisted persistent current in toroidal semiconductor quantum dots S. Gavalajyan et al. https://doi.org/10.1016/j.mtcomm.2026.114781
3894. High-precision shape reconstruction for optical fiber sensors based on cubic spline interpolation and tangent angle recursion Y. Liu & H. Ji https://doi.org/10.3389/fphy.2025.1665822
3895. Estimation of missing hydrological data in monthly rainfall series using meteorological satellite data E. dos Santos et al. https://doi.org/10.1007/s12665-021-09409-9
3896. 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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3908. High-energy neutron shielding analysis using curve fitting and machine learning: a Monte Carlo-based study in concrete and Ferro-Boron configurations A. Gökcan & D. Sarıyer https://doi.org/10.1016/j.anucene.2026.112244
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4390. Machine Learning-Based Japanese Spot Market Price Forecasting Considering the Solar Contribution X. Fang et al. https://doi.org/10.1109/ACCESS.2024.3387071
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4393. Improving the Spatial Resolution of GRACE-Derived Terrestrial Water Storage Changes in Small Areas Using the Machine Learning Spatial Downscaling Method Z. Chen et al. https://doi.org/10.3390/rs13234760
4394. Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture P. Marzahn & S. Meyer https://doi.org/10.3390/rs12162660
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4398. Hydrodynamic Model Optimization for Marine Tourism Development Suitability in Vicinity of Poso Regency Coastal Area, Central Sulawesi, Indonesia S. Hermawan et al. https://doi.org/10.3390/su15043150
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4404. Development of Cost Prediction Model for Improving Cost Estimate at Completion of Building Construction Projects Using MATLAB R2014a Simulink, and Regression Model G. Ayalew & G. Ayalew https://doi.org/10.11648/j.ijmfs.20251102.12
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4408. Examining System-Wide Bike-Share Ridership in Response to Bikeway Expansion: A Trend-Based Analysis M. Azimi et al. https://doi.org/10.1061/JTEPBS.TEENG-9307
4409. Precipitation Anomalies and Trends Estimated via Satellite Rainfall Products in the Cananeia–Iguape Coastal System, Southeast Region of Brazil J. Baratto et al. https://doi.org/10.3390/cli12020022
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4425. AI-driven seasonal streamflow prediction in Victoria: a focus on ENSO climate predictor S. Bani et al. https://doi.org/10.1007/s00477-026-03256-5
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4451. UAV Inspection and Collision-Aware Visual Perception Using Topology-Preserving RGB–Infrared Power-Line Graph Reconstruction J. He et al. https://doi.org/10.3390/electronics15204669
4452. Air pollution and atmospheric variables in Türkiye: A comprehensive analysis S. Ciarlantini et al. https://doi.org/10.1016/j.apr.2025.102826
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4469. A Wind Speed Forecasting Method Based on Machine Learning for Operating Unguided Submunitions from a Cluster Munition S. Lee et al. https://doi.org/10.1007/s42405-024-00751-3
4470. Transitive reasoning: A high-performance computing model for significant pattern discovery in cognitive IoT sensor network V. Jha & P. Tripathi https://doi.org/10.1016/j.adhoc.2024.103700
4471. Comparative Evaluation of Deep Learning Architectures for Electricity Demand Forecasting T. Aravanis & A. Kanavos https://doi.org/10.3390/math14050827
4472. Adaptive thresholding for CT metal artifact reduction via LangGraph Y. Kim et al. https://doi.org/10.1088/1361-6560/ae7ec4
4473. Improving 5TE soil water content sensor accuracy using neutron probe calibration data and machine learning S. Khanal et al. https://doi.org/10.1016/j.atech.2026.102663
4474. A transferable satellite-derived bathymetry model without site-specific calibration for Case-1 optically shallow waters using Sentinel-2/MSI imagery Y. Wang et al. https://doi.org/10.1080/15481603.2026.2753271
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4476. Defect Enhancement and Image Noise Reduction Analysis Using Partial Least Square-Generative Adversarial Networks (PLS-GANs) in Thermographic Nondestructive Evaluation Q. Fang et al. https://doi.org/10.1007/s10921-021-00827-0
4477. Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations A. Samantaray et al. https://doi.org/10.5194/gmd-17-3321-2024
4478. Forecasting annual energy consumption using machine learnings: Case of Indonesia R. Kurniawan & S. Managi https://doi.org/10.1088/1755-1315/257/1/012032
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4480. Physics-guided unmixing of spaceborne hyperspectral data for effective photovoltaic area estimation S. He et al. https://doi.org/10.1016/j.aei.2026.104970
4481. Evaluation of Anti-wear Properties of Different Vegetable Oils Based on QSPR Model J. Liu et al. https://doi.org/10.1007/s11249-023-01704-9
4482. Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine H. Bonakdari et al. https://doi.org/10.1007/s11269-019-02346-0
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4484. 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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4486. 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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4494. Method for calculating porosity in tight sandstone reservoir thin sections based on ICSO intelligent algorithm T. Liu et al. https://doi.org/10.1016/j.uncres.2025.100147
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4496. 3D photogrammetry improves measurement of growth and biodiversity patterns in branching corals J. Curtis et al. https://doi.org/10.1007/s00338-023-02367-7
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4506. Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes N. Ho & T. Le https://doi.org/10.1016/j.measurement.2021.109198
4507. The Big Data Paradox in Clinical Practice P. Msaouel https://doi.org/10.1080/07357907.2022.2084621
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4509. Predicting the dietary fiber content of fresh-cut bamboo shoots using a visible and near-infrared hyperspectral technique X. Xu et al. https://doi.org/10.1007/s11694-023-01845-4
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4526. 3.5 GHz Outdoor Radio Signal Strength Prediction With Machine Learning Based on Low-Cost Geographic Features Y. Liu et al. https://doi.org/10.1109/TAP.2022.3175214
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4531. Intention Prediction of a Hypersonic Glide Vehicle Using a Satellite Constellation Based on Deep Learning Y. Cheng et al. https://doi.org/10.3390/math10203754
4532. A multi-output deep learning model for energy demand and port availability forecasting in EV charging infrastructure S. Makaremi https://doi.org/10.1016/j.energy.2025.134582
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