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