A Data-Driven Framework for Accelerated Modeling of Stacking Fault Energy from Density of States Spectra by Md Tohidul Islam, Scott R. Broderick

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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

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Building and explaining data-driven energy demand models for Indian states by Kieran M R Hunt, Hannah C Bloomfield

“…In this study, we develop state-level data driven models to predict weather-driven energy demand across India using the eXtreme Gradient Boosting framework. …”
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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models. by David Henriques, Alejandro F Villaverde, Miguel Rocha, Julio Saez-Rodriguez, Julio R Banga

“…It also includes a model reduction step to prune spurious interactions and mitigate overfitting. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

“…To address the limitations and shortcomings of existing post-fracturing performance prediction methods for horizontal fractures, a horizontal fracture well productivity prediction model was established by combining physical mechanisms with data-driven approaches. …”
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A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems by Minling Pan, Bingqi Jia, Lei Zhang, Haihong Pan, Lin Chen

“…This study presents a data-driven approach to model and optimize EC in welding robot systems, utilizing a dataset generated from real-world measurements of robot EC during various motions and integrated with trajectory data. …”
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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

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Investigating the Effects of Labeled Data on Parameterized Physics-Informed Neural Networks for Surrogate Modeling: Design Optimization for Drag Reduction over a Forward-Facing Ste... by Erik Gustafsson, Magnus Andersson

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A Reduced-Order Model of Lithium–Sulfur Battery Discharge by Noushin Haddad, Hosam K. Fathy

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Data-driven tube model predictive control of autonomous agricultural tractors for cross-slope navigation by Dongxu Wang, Hongliang Yuan

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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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Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning Models by Pakorn Lonlab, Suparinthon Anupong, Chalita Jainonthee, Sudarat Chadsuthi

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Data-driven modelling method and application based on energy multi-layer network structure of energy hub by Qingsen Cai, Luochang Wu, Chunyang Gao

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Forecasting Urban Agglomeration Air Quality: A Data-Driven Model With the Gaussian Decoupled Representation Extractor by Wenkang Li, Yingfang Zhu

“…The model, using a data-driven approach, segregates the air-quality time series by quantifying and decoding the heterogeneous constituents of time, location, and origin variables embedded in air-quality data. …”
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Data-driven model predictive control for irrigation management in agricultural greenhouses under CO2 enrichment by Ikhlas Ghiat, Rajesh Govindan, Tareq Al-Ansari

“…In this study, a data-driven model predictive control (MPC) is employed within a greenhouse environment to optimise irrigation scheduling. …”
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Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models by Aixiang Yang

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Urban Signalized Intersection Traffic State Prediction: A Spatial–Temporal Graph Model Integrating the Cell Transmission Model and Transformer by Anran Li, Zhenlin Xu, Wenhao Li, Yanyan Chen, Yuyan Pan

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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

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Assessment of Knot-Induced Degradation in Timber Beams: Probabilistic Modeling and Data-Driven Prediction of Load Capacity Loss by Peixuan Wang, Guoming Liu, Fanrong Li, Shengcai Li, Gabriele Milani, Donato Abruzzese

“…This study introduces a multiscale evaluation framework that integrates physical testing, probabilistic modeling, and data-driven techniques. Firstly, static tests on full-scale timber beams with artificially introduced knots reveal the failure mechanisms and load capacity reduction associated with knots in the tension zone. …”
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A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China by Yangda Chen, Aiqun Bao, Yapeng Li, Yingfeng Xiang, Wanlong Cai, Zhaoqiang Xia, Jialei Li, Mingyang Ning, Jing Sun, Haixi Zhang, Xianpeng Sun, Xiaoming Wei

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