| dc.contributor.author | Rostami, Ghodsiyeh | |
| dc.contributor.author | Chen, Po-Han | |
| dc.contributor.author | Hosseini, Mahdi S. | |
| dc.date.accessioned | 2026-08-20T21:27:23Z | |
| dc.date.available | 2026-08-20T21:27:23Z | |
| dc.date.copyright | 2026/02/06 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JCCEE5.CPENG-7090.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314482 | |
| dc.description.abstract | AbstractImage-based crack detection algorithms are increasingly in demand in infrastructure
monitoring, as early detection of cracks is of paramount importance for timely maintenance
planning. While deep learning has significantly advanced crack detection ...Practical ApplicationsInspecting infrastructure such as bridges, roads, and buildings is critical to ensure
safety, however, traditional methods are often slow, expensive, and pose safety risks
for workers. As a result, there has been a shift toward using ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection | |
| dc.type | Journal Article | |
| dc.journal.volume | 40 | |
| dc.journal.issue | 3 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-7090 | |
| dc.journal.fristpage | 04026020-1 | |
| dc.journal.lastpage | 04026020-14 | |
| dc.page | 14 | |
| dc.tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| dc.contenttype | Fulltext | |