Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure
| Autor(en): |
Shengyi Wang
(University of Illinois Urbana-Champaign, Urbana, IL, USA)
Hai Nguyen (Construction Engineering Research Laboratory, Engineer Research and Development Center, Champaign, IL, USA) Rebekah Wilson (Construction Engineering Research Laboratory, Engineer Research and Development Center, Champaign, IL, USA) Brian Eick
(Construction Engineering Research Laboratory, Engineer Research and Development Center, Champaign, IL, USA)
Nora El-Gohary (University of Illinois Urbana-Champaign, Urbana, IL, USA) Carolyn Ortiz (Construction Engineering Research Laboratory, Engineer Research and Development Center, Champaign, IL, USA) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241305039 |
- Über diese
Datenseite - Reference-ID
10816779 - Veröffentlicht am:
03.02.2025 - Geändert am:
03.02.2025
Structurae kooperiert mit
