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  1. 1
    Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach

    Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

    Published 2024-12-01
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  2. 2
    N V.V. THE METHOD OF ESTIMATION OF THE ECOSYSTEMS STABILITY LEVEL BY USE OF AUTOMATIC LEARNING

    N V.V. THE METHOD OF ESTIMATION OF THE ECOSYSTEMS STABILITY LEVEL BY USE OF AUTOMATIC LEARNING by V. N. Exzaryan, Rukavitsi

    Published 2015-02-01
    “…However application of machine learning for processing of initial information on the basis of the decision-making logic permits to automate this procedure and make it quicker and more available for a wide range of experts. …”
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    Comprehensive Cross-Sectional Study of the Triglyceride Glucose Index, Organophosphate Pesticide Exposure, and Cardiovascular Diseases: A Machine Learning Integrated Approach

    Comprehensive Cross-Sectional Study of the Triglyceride Glucose Index, Organophosphate Pesticide Exposure, and Cardiovascular Diseases: A Machine Learning Integrated Approach by Xuehai Wang, Mengxin Tian, Zengxu Shen, Kai Tian, Yue Fei, Yulan Cheng, Jialing Ruan, Siyi Mo, Jingjing Dai, Weiyi Xia, Mengna Jiang, Xinyuan Zhao, Jinfeng Zhu, Jing Xiao

    Published 2025-02-01
    “…A weighted quantile regression and quantile-based g-computation assessed the impact of combined OPP exposure on the TyG index. …”
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