Estimation of Evaporation Rate Using Advanced Methods by Mohammed Falah Allawi, Uday Hatem Abdulhameed, Mohammed Freeh Sahab, Sadeq Oleiwi Sulaiman

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Uncovering Historical Reservoir Operation Rules and Patterns: Insights From 452 Large Reservoirs in the Contiguous United States by Donghui Li, Yanan Chen, Lingqi Lyu, Ximing Cai

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Transient Pressure Estimation Using Data-Driven Models: An Approach Based on Ensemble Trees by Rafael Barreto, Rui Gabriel Souza, Gustavo Meirelles, Bruno Brentan

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An Atmospheric Signal Lowering the Spring Predictability Barrier in Statistical ENSO Forecasts by Dmitry Mukhin, Andrey Gavrilov, Aleksei Seleznev, Maria Buyanova

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Predicting transient response using data-driven models for ball-impact simulations by Ross Pivovar, Fei Chen, Raghunath Katragadda, Vidyasagar Ananthan

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A robust data-driven approach for modeling turbulent transport by R. Varennes, Z.S. Qu, Y.W. Cho, C. Wan, K. Li, R.A. Heinonen, V. Grandgirard

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Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey by Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath

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Bridging data-driven and process-based approaches for hydrological modeling in the tropics: insights from the Kelani River Basin, Sri Lanka by Randika K. Makumbura, Jagath Manatunge, Upaka Rathnayake

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Simplified Data-Driven Models for Gas Turbine Diagnostics by Igor Loboda, Juan Luis Pérez Ruíz, Iván González Castillo, Jonatán Mario Cuéllar Arias, Sergiy Yepifanov

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Optimizing Time Series Models for Water Demand Forecasting by Gal Perelman, Yaniv Romano, Avi Ostfeld

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A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges by Md. Moniruzzaman Monir, Subaran Chandra Sarker, Abu Reza Md. Towfiqul Islam

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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

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A review on physics-informed machine learning for monitoring metal additive manufacturing process by Shoulan Yang, Shitong Peng, Jianan Guo, Fengtao Wang

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Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed by Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang

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Editorial: Modeling-based approaches for water resources problems, volume II by Marwan Fahs, Behzad Ataie-Ashtiani, Behzad Ataie-Ashtiani, Thomas Graf, Maarten W. Saaltink, Craig T. Simmons, Anis Younes

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Interpretable Process Monitoring Using Data-Driven Fuzzy-Based Models for Wastewater Treatment Plants by Rodrigo Salles, Miguel Proença, Rui Araújo, Jorge S. S. Júnior, Jérôme Mendes

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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

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A Review of Data-Driven Models for Electromagnetic Devices Design and Analysis by Zihan Li, Mengyu Cheng, Andy Tyrrell, Xing Zhao

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Corrigendum: Data-driven modeling of dissolved iron in the global ocean by Yibin Huang, Alessandro Tagliabue, Nicolas Cassar, Nicolas Cassar

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TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education by J. Wilhelm, J. Quinting, M. Burba, S. Hollborn, U. Ehret, I. Pena Sánchez, S. Lerch, J. Meyer, B. Verfürth, P. Knippertz

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