An Innovative Dense ResU-Net Architecture With T-Max-Avg Pooling for Advanced Crack Detection in Concrete Structures
Computer vision which uses Convolutional Neural Network (CNN) models is a robust and accurate tool for precise monitoring and pixel-level detection of potential damage in concrete structures. Using a state-of-the-art Dense ResU-Net model integrated with T-Max-Avg pooling layers, the present study in...
Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2024-01-01
|
| Seri Bilgileri: | IEEE Open Journal of the Computer Society |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10720206/ |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|