Performance Evaluation of Deep CNN-Based Crack Detection and Localization Techniques for Concrete Structures

This paper proposes a customized convolutional neural network for crack detection in concrete structures. The proposed method is compared to four existing deep learning methods based on training data size, data heterogeneity, network complexity, and the number of epochs. The performance of the propo...

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Detalles Bibliográficos
Autores principales: Ali, Luqman, Alnajjar, Fady, Jassmi, Hamad Al, Gocho, Munkhjargal, Khan, Wasif, Serhani, M. Adel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957757/
https://www.ncbi.nlm.nih.gov/pubmed/33804490
http://dx.doi.org/10.3390/s21051688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957757/
https://www.ncbi.nlm.nih.gov/pubmed/33804490
http://dx.doi.org/10.3390/s21051688

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