| contributor author | Wan, Keyu | |
| contributor author | Zhang, Weiming | |
| contributor author | Wang, Yutong | |
| contributor author | Wang, Jinfeng | |
| contributor author | Ren, Jiawei | |
| date accessioned | 2026-08-20T21:26:43Z | |
| date available | 2026-08-20T21:26:43Z | |
| date copyright | 2025/09/30 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7002.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314463 | |
| description abstract | AbstractData anomaly detection plays a pivotal role in structural health monitoring (SHM),
enabling reliable and accurate assessment of structural condition. This paper proposes
an unsupervised anomaly detection method based on the spatio-temporal sparse ... | |
| publisher | American Society of Civil Engineers | |
| title | Unsupervised Data Anomaly Detection Based on Spatio-Temporal Sparse Integration Framework | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 1 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7002 | |
| journal fristpage | 04025126-1 | |
| journal lastpage | 04025126-18 | |
| page | 18 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001 | |
| contenttype | Fulltext | |