Efficient Supervised Machine Learning Techniques for Structural Health Monitoring

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Efficient Supervised Machine Learning Techniques for Structural Health Monitoring

This thesis presents supervised machine learning techniques using acceleration responses recorded from a small number of sensors. Ensemble-based traditional machine learning models are developed as a multi output regression model for the damage identification of the civil engineering structures usin...

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Bibliographic Details
Main Author:	Chencho
Format:	Thesis
Published:	Curtin University 2022
Online Access:	http://hdl.handle.net/20.500.11937/89294

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