| contributor author | Zeng, Qingwei | |
| contributor author | He, Xinyang | |
| contributor author | Yang, Shunxin | |
| contributor author | Cui, Qixuan | |
| contributor author | Xu, Chang | |
| date accessioned | 2026-08-20T21:23:37Z | |
| date available | 2026-08-20T21:23:37Z | |
| date copyright | 2025/06/16 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6426.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314379 | |
| description abstract | AbstractThe accuracy of pavement performance prediction models directly affects the development
of pavement maintenance and rehabilitation (M&R) decision plans. However, existing
pavement performance prediction models ignore the interactions of adjacent ... | |
| publisher | American Society of Civil Engineers | |
| title | Pavement Performance Prediction for Continuous Road Sections Considering Spatial Correlation: A Deep Learning–Based Framework | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6426 | |
| journal fristpage | 04025067-1 | |
| journal lastpage | 04025067-13 | |
| page | 13 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005 | |
| contenttype | Fulltext | |
