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

    Published 2025-01-01
    “…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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    Article
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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

    Published 2017-02-01
    “…It also includes a model reduction step to prune spurious interactions and mitigate overfitting. …”
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    Article
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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

    Published 2025-08-01
    “…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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    Article
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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

    Published 2025-06-01
    “…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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    Article
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    AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach by Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak

    Published 2025-09-01
    “…The study focuses on identifying the most informative features from time, frequency, and wavelet domains, followed by dimensionality reduction using Principal Component Analysis (PCA) and Correlation Analysis (CA) to enhance classification performance, reduce complexity, and improve model interpretability. …”
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    Article
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    Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces by Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang

    Published 2024-11-01
    “…A data-driven method, namely a sensitivity analysis based on the Kriging model, is proposed along with three design space variation schemes (scaling, translation, and their combination) to evaluate the influence of geometric parameters on the objective function under varying design spaces. …”
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    Forecasting Urban Agglomeration Air Quality: A Data-Driven Model With the Gaussian Decoupled Representation Extractor by Wenkang Li, Yingfang Zhu

    Published 2024-01-01
    “…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

    Published 2025-12-01
    “…In this study, a data-driven model predictive control (MPC) is employed within a greenhouse environment to optimise irrigation scheduling. …”
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    Article