| contributor author | Zhao, Quanman | |
| contributor author | Liu, Zhaohui | |
| contributor author | Meng, Fanyu | |
| contributor author | Ma, Zhihao | |
| contributor author | Tuerhong, Aihemaitijiang | |
| contributor author | Guo, Guihong | |
| date accessioned | 2026-08-20T12:01:00Z | |
| date available | 2026-08-20T12:01:00Z | |
| date copyright | 2025/06/16 | |
| date issued | 2025 | |
| identifier other | JPEODX.PVENG-1635.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312976 | |
| description abstract | AbstractTo address challenges in the accuracy and integrity of semantic segmentation models
for highway asphalt pavement crack detection, a novel model, highway crack net (HWCNet),
is proposed, combining convolutional neural network (CNN) and transformer ... | |
| publisher | American Society of Civil Engineers | |
| title | HWCNet: A Semantic Segmentation Model for Highway Asphalt Pavement Cracks | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 3 | |
| journal title | Journal of Transportation Engineering, Part B: Pavements | |
| identifier doi | 10.1061/JPEODX.PVENG-1635 | |
| journal fristpage | 04025035-1 | |
| journal lastpage | 04025035-15 | |
| page | 15 | |
| tree | Journal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 003 | |
| contenttype | Fulltext | |
