Deployable Deep Learning Models for Crack Detection: Efficiency, Interpretability, and Severity Estimation
Concrete infrastructure inspection is essential for maintaining the safety and longevity of urban environments. Traditional manual crack detection methods are labor-intensive, inconsistent, and difficult to scale. Recent advancements in deep learning and computer vision offer automated alternatives,...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2025-09-01
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| Colección: | Buildings |
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| Acceso en línea: | https://www.mdpi.com/2075-5309/15/18/3362 |
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