Civil structural health monitoring and machine learning: a comprehensive review

In the past five years, the implementation of machine learning (ML) techniques has surged in civil engineering applications, particularly for optimizing and predicting solutions to various challenges. More robust prediction models may be produced by combining test data collected in the laboratory o...

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Bibliographic Details

Main Authors:	Anjum, Asraar, Hrairi, Meftah, Shaikh, Abdul Aabid, Mohd Yatim, Norfazrina Hayati, Ali, Maisarah
Format:	Article
Language:	en en
Published:	Gruppo Italiano Frattura 2024
Subjects:	TA349 Mechanics of engineering. Applied mechanics TA630 Structural engineering (General)
Online Access:	http://irep.iium.edu.my/111976/2/111976_Civil%20structural%20health%20monitoring%20and%20machine%20learning_SCOPUS.pdf http://irep.iium.edu.my/111976/3/111976_Civil%20structural%20health%20monitoring%20and%20machine%20learning.pdf http://irep.iium.edu.my/111976/ https://www.fracturae.com/index.php/fis/article/view/4789/4043 https://doi.org/10.3221/IGF-ESIS.69.04
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