A Review of Multiscale Interaction Mechanisms of Wind–Leaf–Droplet Systems in Orchard Spraying by Yunfei Wang, Zhenlei Zhang, Ruohan Shi, Shiqun Dai, Weidong Jia, Mingxiong Ou, Xiang Dong, Mingde Yan

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Empirical Data-Driven Linear Model of a Swimming Robot Using the Complex Delay-Embedding DMD Technique by Mostafa Sayahkarajy, Hartmut Witte

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Global Optimal Automatic Generation Control of a Multimachine Power System Using Hybrid NLMPC and Data-Driven Methods by Ahmed Khamees, Hüseyin Altınkaya

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Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes by Sheng Du, Zixin Huang, Li Jin, Xiongbo Wan

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Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality by Zhihui Zhao, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, Weiqiang Wang

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Development of Concentration-Prediction Models in Multiple Manufacturing Environments Using NIR Spectroscopy by Yusuke Hayashi, Saho Okazaki, Kazuya Tanabe, Takuya Nagato, Hirokazu Sugiyama

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A rapid calculation method for dynamic linepack of natural gas by coupling data and mechanism models by Xiong YIN, Jing ZHANG, Fei YANG, Yumo ZHU, Kenan SONG, Jinliang GENG, Kai WEN, Jing GONG

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The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks by Zheng Zhang, Bolun Zhang, Ren Chen, Qian Zhang, Kangjun Wang

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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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Modeling of the Power Station Boiler Combustion Efficiency Considering Multiple Work Condition with Feature Selection by TANG Zhenhao, WU Xiaoyan, CAO Shengxian

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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

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Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

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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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PROSPECT-DP: A coupled leaf optical properties model for improving leaf spectra simulation in the red-edge domain by excluding the ChlF effect by Shanshan Du, Dianrun Zhao, LinLin Guan, Mengjia Qi, Xinjie Liu, Liangyun Liu

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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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