| dc.contributor.author | Lee, Yeong In | |
| dc.contributor.author | Lee, Sang Min | |
| dc.contributor.author | Kang, Thomas H.-K. | |
| dc.date.accessioned | 2026-08-20T12:21:41Z | |
| dc.date.available | 2026-08-20T12:21:41Z | |
| dc.date.copyright | 2025/09/27 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JSENDH.STENG-14823.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313398 | |
| dc.description.abstract | AbstractEnsuring the structural integrity of building is critical for maintaining public safety,
necessitating reliable methods for the detection of internal defects. In practice,
however, obtaining data from compromised structures poses significant ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Multiclass Deep Support Vector Data Description for Structural Health Monitoring | |
| dc.type | Journal Article | |
| dc.journal.volume | 151 | |
| dc.journal.issue | 12 | |
| dc.journal.title | Journal of Structural Engineering | |
| dc.identifier.doi | 10.1061/JSENDH.STENG-14823 | |
| dc.journal.fristpage | 04025201-1 | |
| dc.journal.lastpage | 04025201-14 | |
| dc.page | 14 | |
| dc.tree | Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 012 | |
| dc.contenttype | Fulltext | |
