An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method

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An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method

This study introduces a pioneering system for real-time classification and measurement of concrete surface cracks, a crucial aspect of Structural Health Monitoring (SHM). We harness the power of transfer learning (TL) in Convolutional Neural Networks (CNNs), including renowned models such as MobileN...

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Bibliographic Details
Published in:	Alexandria Engineering Journal
Main Author:	Mazni M.; Husain A.R.; Shapiai M.I.; Ibrahim I.S.; Anggara D.W.; Zulkifli R.
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187224260&doi=10.1016%2fj.aej.2024.02.052&partnerID=40&md5=b645ef33c0c2e8bd0c823f1a163d6e72

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