3DGEN: a framework for generating custom-made synthetic 3D datasets for civil structure health monitoring
| Author(s): |
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: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241265540 |
- About this
data sheet - Reference-ID
10797465 - Published on:
01/09/2024 - Last updated on:
01/09/2024
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