Vibration-based damage detection of buildings using a decision-tree-based algorithm
Hossein Hosseini Lavasaniا,
mohammad mahdipour
Abstract:Previous studies revealed that traditional methods of damage detection (e.g., visual inspection) are time-consuming and require large monetary resources. In the last three decades, machine learning algorithms, sensor technologies, and computer science have progressively advanced, which paved the way for implementing machine learning-based damage detection frameworks. This paper presents a damage detection framework for civil structures using machine learning algorithms. The decision-tree classifier is used to … Show more
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