A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
| Autor(en): |
Muhammad Monjurul Karim
(Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA)
Ruwen Qin 
(Department of Civil Engineering, Stony Brook University, Stony Brook, NY, USA)
Genda Chen
(Department of Civil, Environmental and Architectural Engineering, Missouri University of Science and Technology, Rolla, MO, USA)
Zhaozheng Yin (Department of Biomedical Informatics, Department of Computer Science, AI Institute, Stony Brook University, Stony Brook, NY, USA) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring, August 2021, n. 3, v. 21 |
| Seite(n): | 147592172110104 |
| DOI: | 10.1177/14759217211010422 |
- Über diese
Datenseite - Reference-ID
10609117 - Veröffentlicht am:
22.05.2021 - Geändert am:
09.05.2022
Structurae kooperiert mit
