| contributor author | Mohammed, Mohammed Ameen | |
| contributor author | Han, Zheng | |
| contributor author | Li, Yange | |
| contributor author | Al-Huda, Zaid | |
| contributor author | Wang, Weidong | |
| date accessioned | 2026-08-20T21:24:11Z | |
| date available | 2026-08-20T21:24:11Z | |
| date copyright | 2026/04/29 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-6525.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314394 | |
| description abstract | AbstractAccurate segmentation of pavement cracks is crucial for maintaining road safety and
the longevity of road infrastructures. Existing convolutional neural network (CNN)
models often struggle with the noise and irregular crack patterns inherent in ... | |
| publisher | American Society of Civil Engineers | |
| title | Optimized Pavement Crack Segmentation with Low Computational Cost Using Fusion-Enhanced Attention U-Net | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 4 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6525 | |
| journal fristpage | 04026041-1 | |
| journal lastpage | 04026041-14 | |
| page | 14 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004 | |
| contenttype | Fulltext | |
