| dc.contributor.author | Bazrafshan, Pedram | |
| dc.contributor.author | Ebrahimkhanlou, Arvin | |
| dc.date.accessioned | 2026-08-20T21:26:17Z | |
| dc.date.available | 2026-08-20T21:26:17Z | |
| dc.date.copyright | 2025/09/27 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCCEE5.CPENG-6910.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314452 | |
| dc.description.abstract | AbstractGenerative artificial intelligence (AI) is transforming the condition assessment of
civil infrastructures, creating both opportunities and challenges. This paper aims
to address challenges related to the authenticity and trustworthiness of AI-... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Physics-Based Analysis and Data-Driven Detection of Artificial Intelligence–Generated Surface Crack Images for Civil Infrastructure Monitoring | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 1 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6910 | |
| dc.journal.fristpage | 04025120-1 | |
| dc.journal.lastpage | 04025120-21 | |
| dc.page | 21 | |
| dc.tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001 | |
| dc.contenttype | Fulltext | |
