| contributor author | Qian, Jinhua | |
| contributor author | Wu, Songhua | |
| contributor author | Xue, Fei | |
| contributor author | Xiao, Kaifeng | |
| contributor author | Wang, Tianzuo | |
| date accessioned | 2026-08-20T21:27:27Z | |
| date available | 2026-08-20T21:27:27Z | |
| date copyright | 2025/11/22 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7105.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314484 | |
| description abstract | AbstractTo address the inefficiencies and limitations of traditional three-dimensional (3D)
reconstruction methods for shield tunnels, particularly in visualization and leakage
localization, this study proposes a deep learning–based framework that ... | |
| publisher | American Society of Civil Engineers | |
| title | Deep Learning-Based Rapid 3D Reconstruction and Spatial Localization of Leakage in Shield Tunnels | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7105 | |
| journal fristpage | 04025145-1 | |
| journal lastpage | 04025145-15 | |
| page | 15 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002 | |
| contenttype | Fulltext | |
