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CrackNet-VGG: A Deep Learning Framework for Automated Detection of Surface Cracks in Concrete Structures

The reliable and timely detection of cracks in concrete structures is essential for maintaining the safety, functionality, and longevity of civil infrastructure, including buildings, bridges, highways, and dams. Structural cracks can emerge due to multiple factors such as material fatigue, environme...

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Bibliografiske detaljer
Principais autores: Murtaza Saiqa, Imran Muhammad, Rana Muhammad Rizwan Rashid
Format: Artigo
Sprog:Inglês
Udgivet: Sciendo 2025-01-01
Serier:Applied Computer Systems
Fag:
Online adgang:https://doi.org/10.2478/acss-2025-0020
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