A Simple and Effective KAN-Based Architecture for Accurate Battery RUL Prediction by Guangzai Ye, Li Feng, Jianlan Guo, Yuqiang Chen, Shufei Li

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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

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Physical Property Prediction and Simulation Analysis of Hydrogen‐Doped Natural Gas Pipeline by Lianghui Guo, He Zhang, Ran Liu, Keke Zhi, Xinzhe Li

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A Novel Solution Technique for the Expansion Planning of Modern Distribution Systems: A Feasibility-Driven Approach by Jonathan A. Marcelo, Gregorio Munoz-Delgado, Javier Contreras, Jose R. Sanches Mantovani

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ML-Driven Energy Savings for Cellular Baseband Units via Traffic Prediction by Aneta Kolackova, Viet Anh Phan, Jan Jerabek, Sergey Andreev, Jiri Hosek

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Methods for Predicting the Costs of Maintaining Nuclear Heritage Facilities in а Safe State by D. F. Iliasov, A. Y. Ivanov, E. O. Kuznetsova

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Personalized prediction of esophageal cancer risk based on virtually generated alcohol data by Oswald Ndi Nfor, Pei-Ming Huang, Ming-Fang Wu, Ke-Cheng Chen, Ying-Hsiang Chou, Mong-Wei Lin, Ji-Han Zhong, Shuenn-Wen Kuo, Yu-Kwang Lee, Chih-Hung Hsu, Jang-Ming Lee, Yung-Po Liaw

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Improved stiff string torque and drag prediction using a computationally efficient contact algorithm by Sampath Liyanarachchi, Geoff Rideout

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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

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AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts by Stephen G. Penny

“…Abstract A new approach called cross‐attractor transforms (Agarwal et al., 2025, https://doi.org/10.1029/2024gl110472) aims to improve weather forecasts by using neural networks to learn optimal maps between nature and imperfect numerical weather prediction (NWP) models. …”
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Using Deep Learning in Ensemble Streamflow Forecasting: Exploring the Predictive Value of Explicit Snowpack Information by Parthkumar Modi, Keith Jennings, Joseph Kasprzyk, Eric Small, Cameron Wobus, Ben Livneh

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An efficient multiscale simulation framework integrating dynamic heterogeneity for accurate waterflooding prediction by Li Wu, Junqiang Wang, Deli Jia, Jiqun Zhang, Ruichao Zhang, Yiqun Yan, Yanfang Yin, Shuoliang Wang

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Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction by Fared Farag, Trevis D. Huggins, Jeremy D. Edwards, Anna M. McClung, Ahmed A. Hashem, Jason L. Causey, Emily S. Bellis

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Combustion Control of Ship’s Oil-Fired Boilers Based on Prediction of Flame Images by Chang-Min Lee

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Urban Fire Spatial–Temporal Prediction Based on Multi-Source Data Fusion by Haiyu Xiang, Lizhi Wu, Zidong Guo, Shaoyun Ren

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Predictive Study on the Cutting Energy Efficiency of Dredgers Based on Specific Cutting Energy by Junlang Yuan, Ke Yang, Taiwei Yang, Haoran Xu, Ting Xiong, Shidong Fan

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An Early Warning Method Based on Blending of Deep Generative Model and Oversampling Model for Online Learning by Mingyan Zhang, Yiqing Wang, Jui-Long Hung, Jie Wang, Chao Duan

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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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MATHEMATICAL MODELING OF TUMOR GROWTH by S. E. Dushin, I. I. Shpakovshaya, O. A. Grafina

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PREDICTION OF THE POOR RATE K-MEANS AND GENERALIZED REGRESSION NEURAL NETWORK ALGORITHMS (CASE STUDY: NORTH SUMATRA PROVINCE) by Nita Suryani, Arnita Arnita, Rinjani Cyra Nabila, Amanda Fitria

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