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This paper presents element level structural damage quantification using an ensemble‐based machine learning technique, namely, random forest technique, with acceleration responses from structures. The ensemble‐based approach provides a better prediction than an individual model. Random forest is a machine learning algorithm which has several decision trees to perform a task. The proposed approach...
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