Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms

Predicting building damage grade by earthquake: a Bayesian Optimization-based comparative study of machine learning algorithms

This study compares Bayesian Optimization-based machine learning systems that anticipate earthquake-damaged buildings and to evaluates building damage classification models. Using metrics, this study evaluates Random Forest, ElasticNet, and Decision Tree algorithms. This study showed damage level as...

書目詳細資料
Main Authors:	Al-Rawashdeh, Mohammad, Al Nawaiseh, Moh’d, Yousef, Isam, Bisharah, Majdi, Alkhadrawi, Sajeda, Al-Bdour, Hamza
格式:	Article
出版:	Springer Cham 2024

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