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...
| Published in: | Alexandria Engineering Journal |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| 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 |