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Data–Physics-Driven Multi-Point Hybrid Deformation Monitoring Model Based on Bayesian Optimization Algorithm–Light Gradient-Boosting Machine.

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Title: Data–Physics-Driven Multi-Point Hybrid Deformation Monitoring Model Based on Bayesian Optimization Algorithm–Light Gradient-Boosting Machine.
Authors: Song, Lei1 (AUTHOR), Hu, Yating2,3 (AUTHOR) yating.hu@ncu.edu.cn
Source: Water (20734441). Oct2025, Vol. 17 Issue 20, p2926. 19p.
Database: Environment Complete
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  Data: Data–Physics-Driven Multi-Point Hybrid Deformation Monitoring Model Based on Bayesian Optimization Algorithm–Light Gradient-Boosting Machine.
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        Value: 10.3390/w17202926
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 2926
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      – TitleFull: Data–Physics-Driven Multi-Point Hybrid Deformation Monitoring Model Based on Bayesian Optimization Algorithm–Light Gradient-Boosting Machine.
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            NameFull: Song, Lei
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              Text: Oct2025
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              Y: 2025
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