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    Damage Detection Approach for Bridges under Temperature Effects using Gaussian Process Regression Trained with Hybrid Data 

    Source: Journal of Bridge Engineering:;2022:;Volume ( 027 ):;issue: 011:;page 04022107
    Author(s): Samuel da Silva; Eloi Figueiredo; Ionut Moldovan
    Publisher: ASCE
    Abstract: The success of detecting damage robustly relies on the availability of long periods of past data covering multiple weather scenarios and on the information contained in the data used during the learning process. Thus, the ...
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