Optimising Physics-Informed Neural Network Solvers for Turbulence Modelling: A Study on Solver Constraints Against a Data-Driven Approach by William Fox, Bharath Sharma, Jianhua Chen, Marco Castellani, Daniel M. Espino

Subjects: “…data-driven model…”
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The selection of priority control perfluorinated alkyl substances in drinking water source of Guangzhou, China, a case study based on health risks ranking by Jingru Zhang, Sijia Liu, Xuan Yu, Qianqian Yu, Lingyun Yu, Fanqi Jing, Han Zhang, Zhanlu Lv, Ling-Chuan Guo, Lulu Zhang

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A data-driven prediction method for shear bearing capacity of flexural-shear type RC column based on PCC-XGB-SHAP by Tao Huang, Chunfeng Wan, Tingbin Liu, Changqing Miao

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Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model by Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song

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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights by Sina Sarfarazi, Rabee Shamass, Federico Guarracino, Ida Mascolo, Mariano Modano

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State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States by Osman Ozer, Hayri Arabaci

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Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony by James Bagrow, Josh Bongard

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Toward learning steelmaking—A review on machine learning for basic oxygen furnace process by Maryam Khaksar Ghalati, Jianbo Zhang, G. M. A. M. El‐Fallah, Bogdan Nenchev, Hongbiao Dong

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Fleet‐Based Degradation State Quantification for Industrial Water Electrolyzers by Xuqian Yan, Lennard Helmers, Kunyuan Zhou, Astrid Nieße

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Data-driven material modeling based on the Constitutive Relation Error by Pierre Ladevèze, Ludovic Chamoin

Subjects: “…Data-driven modeling…”
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Approaches to Proxy Modeling of Gas Reservoirs by Alexander Perepelkin, Anar Sharifov, Daniil Titov, Zakhar Shandrygolov, Denis Derkach, Shamil Islamov

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A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings by Peter Klanatsky, François Veynandt, Christian Heschl

Subjects: “…Optimization problem formulation with Mixed-Integer Linear Programming for Data-driven Model Predictive Control of buildings with Thermally Activated Building Structures and shading system…”
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Gaussian Process Regression-Based Fixed-Time Trajectory Tracking Control for Uncertain Euler–Lagrange Systems by Tong Li, Tianqi Chen, Liang Sun

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Data-driven modeling for evaluating deformation of a deep excavation near existing tunnels by Fengwen Lai, Songyu Liu, Jim Shiau, Mingpeng Liu, Guojun Cai, Ming Huang

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Sample Distribution Approximation for the Ship Fleet Deployment Problem Under Random Demand by Qi Hong, Xuecheng Tian, Haoran Li, Zhiyuan Liu, Shuaian Wang

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

Subjects: “…data-driven modeling…”
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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

Subjects: “…Data-driven modeling…”
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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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