3DGEN: a framework for generating custom-made synthetic 3D datasets for civil structure health monitoring
| Autor(en): |
Yanda Shao
(School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA, Australia)
Ling Li 
(School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA, Australia)
Jun Li
(Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Bentley, WA, Australia)
Qilin Li
(School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA, Australia)
Senjian An (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA, Australia) Hong Hao (Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Bentley, WA, Australia) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241265540 |
- Über diese
Datenseite - Reference-ID
10797465 - Veröffentlicht am:
01.09.2024 - Geändert am:
01.09.2024
Structurae kooperiert mit
