| dc.contributor.author | Zhou, Shijie | |
| dc.contributor.author | Peng, Hua | |
| dc.contributor.author | Zheng, Huihuan | |
| dc.contributor.author | He, Xiao | |
| dc.contributor.author | Ma, Wenhui | |
| dc.date.accessioned | 2026-08-20T21:28:04Z | |
| dc.date.available | 2026-08-20T21:28:04Z | |
| dc.date.copyright | 2026/06/08 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCCEE5.CPENG-7244.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314503 | |
| dc.description.abstract | AbstractDuring the excavation of foundation pits, accurately predicting the deformation of
existing metro tunnel structures plays a crucial role in ensuring the safe operation
of the metro system. In this paper, a novel deep learning method for predicting ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | A Deep Learning Method Fusing Multiscale Temporal Features for Metro Tunnel Deformation Advanced Prediction | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-7244 | |
| dc.journal.fristpage | 04026071-1 | |
| dc.journal.lastpage | 04026071-16 | |
| dc.page | 16 | |
| dc.tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005 | |
| dc.contenttype | Fulltext | |
