| dc.contributor.author | Li, Jia-Huan | |
| dc.contributor.author | Zhu, Li | |
| dc.contributor.author | Zhu, Yao-Yu | |
| dc.contributor.author | Su, Ray Kai-Leung | |
| dc.date.accessioned | 2026-08-20T12:22:32Z | |
| dc.date.available | 2026-08-20T12:22:32Z | |
| dc.date.copyright | 2025/08/22 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JSENDH.STENG-14884.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313411 | |
| dc.description.abstract | AbstractIn contrast with traditional procedures, computer vision–based approaches to the noncontact
measurement of structural vibration displacement offer the benefits of convenience,
efficiency, and dense sensing. These approaches provide comprehensive ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Noncontact Structural Vibration Displacement Measurement Using Deep Learning–Based Optical Flow Estimation | |
| dc.type | Journal Article | |
| dc.journal.volume | 151 | |
| dc.journal.issue | 11 | |
| dc.journal.title | Journal of Structural Engineering | |
| dc.identifier.doi | 10.1061/JSENDH.STENG-14884 | |
| dc.journal.fristpage | 04025177-1 | |
| dc.journal.lastpage | 04025177-21 | |
| dc.page | 21 | |
| dc.tree | Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 011 | |
| dc.contenttype | Fulltext | |
