| contributor author | Zhao, Wenzhuo | |
| contributor author | Li, Ke | |
| contributor author | Liu, Gang | |
| contributor author | Chen, Bin | |
| contributor author | Fan, Mingyu | |
| contributor author | Yin, Shuohui | |
| date accessioned | 2026-08-20T10:41:10Z | |
| date available | 2026-08-20T10:41:10Z | |
| date copyright | 2026/04/07 | |
| date issued | 2026 | |
| identifier other | JCEMD4.COENG-17156.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311120 | |
| description abstract | AbstractCrack detection is a critical task in the diagnosis and assessment of bridge health.
Currently, most crack detection methods concentrate solely on a single aspect (segmentation,
object detection, or classification) and are incapable of fulfilling ... | |
| publisher | American Society of Civil Engineers | |
| title | A Three-Stage Intelligent Crack Detection Method for Concrete Bridges Based on Deep Neural Networks | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 6 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/JCEMD4.COENG-17156 | |
| journal fristpage | 04026067-1 | |
| journal lastpage | 04026067-14 | |
| page | 14 | |
| tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 006 | |
| contenttype | Fulltext | |
