Next Generation Public Supply Water Withdrawal Estimation for the Conterminous United States Using Machine Learning and Operational Frameworks by Ayman Alzraiee, Richard Niswonger, Carol Luukkonen, Josh Larsen, Donald Martin, Deidre Herbert, Cheryl Buchwald, Cheryl Dieter, Lisa Miller, Jana Stewart, Natalie Houston, Scott Paulinski, Kristen Valseth

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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel by Mengyang Li, Liu Chen

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Wildfire Occurrence and Damage Dataset for Chile (1985–2024): A Real Data Resource for Early Detection and Prevention Systems by Cristian Vidal-Silva, Roberto Pizarro, Miguel Castillo-Soto, Claudia de la Fuente, Vannessa Duarte, Claudia Sangüesa, Alfredo Ibañez, Rodrigo Paredes, Ben Ingram

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Real‐Time Hot‐Rolled Coil Placement Recommendation System with Data‐Driven Model by Chihun Lee, Da Seul Shin, Youn Hee Kang, Kanghyouk Choi, Dong Yong Park, Junsuk Rho

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A clustering fractional-order grey model in short-term electrical load forecasting by Xiang Yu, Lihua Lu, Jianming Qi, Yuchen Qian, Lisen Zhao, Chang Tan, Yangquan Chen, Zhigang Han

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Temporal Evolution of the Hydrodynamics of a Swimming Eel Robot Using Sparse Identification: SINDy-DMD by Mostafa Sayahkarajy, Hartmut Witte

Subjects: “…data-driven modeling…”
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An updated version of the SZ-plugin: From space to space–time data-driven modeling in QGIS by Giacomo Titti, Liwei Hu, Pietro Festi, Letizia Elia, Lisa Borgatti, Luigi Lombardo

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Artificial intelligence models for predicting the performance of proton exchange membrane water electrolyzers under steady and dynamic power by Thomas Waite, Alireza Sadeghi, Mohammad Yazdani-Asrami

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Physics-Informed Neural Networks for Enhanced State Estimation in Unbalanced Distribution Power Systems by Petros Iliadis, Stefanos Petridis, Angelos Skembris, Dimitrios Rakopoulos, Elias Kosmatopoulos

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PhyICNet: Physics-informed interactive learning convolutional recurrent network for spatiotemporal dynamics by Ruohan Cao, Jin Su, Jinqian Feng, Qin Guo

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Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach by Bidur Poudel, Nischal Guruwacharya, Sunil Subedi, Ujjwol Tamrakar, Felipe Wilches-Bernal, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen, Reinaldo Tonkoski

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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

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DBO-DELM Method for Predicting Rolling Forces in Cold Rolling by LI Xiaoyang, PIAO Chunhui, WANG Xuelei, ZHANG Mingzhi

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Active learning concerning sampling cost for enhancing AI-enabled building energy system modeling by Ao Li, Fu Xiao, Ziwei Xiao, Rui Yan, Anbang Li, Yan Lv, Bing Su

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Operational Energy Consumption Map for Urban Electric Buses: Case Study for Warsaw by Maciej Kozłowski, Andrzej Czerepicki

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Data-driven robust transmission expansion planning against rising temperatures by J Kyle Skolfield, Ahmad Alnakhli, Ali Alawad, Adolfo R Escobedo, Payman Dehghanian

Subjects: “…Data-driven modeling…”
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Interpretable protein-DNA interactions captured by structure-sequence optimization by Yafan Zhang, Irene Silvernail, Zhuyang Lin, Xingcheng Lin

Subjects: “…data-driven modeling…”
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Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit by Mohammed G. Albayati, Jalal Faraj, Amy Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran

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Conciliating accuracy and efficiency to empower engineering based on performance: a short journey by Chinesta, Francisco, Cueto, Elias

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Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review by Shrikant M. Harle, Rajan L. Wankhade

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