| dc.contributor.author | Yao, Hui | |
| dc.contributor.author | Yu, Yifan | |
| dc.contributor.author | Zhang, Huiting | |
| dc.contributor.author | Liu, Yanhao | |
| dc.contributor.author | Wang, Min | |
| dc.date.accessioned | 2026-08-20T12:02:09Z | |
| dc.date.available | 2026-08-20T12:02:09Z | |
| dc.date.copyright | 2025/12/13 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JPEODX.PVENG-1869.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313004 | |
| dc.description.abstract | AbstractEdge computing technology enables in situ diagnosis based on neural networks in ground-penetrating
radar (GPR) detection. However, there is a contradiction between the limited resources
of radar terminal and the high resource demands of the ...This figure illustrates the architecture of a lightweight pavement defect detection
algorithm based on Ground Penetrating Radar (GPR). The workflow begins with the input
of a GPR image dataset, which is processed using an EfficientNet-YOLOv5 lightweight
... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | A Lightweight Detection Algorithm for Pavement Structure Distress Based on Ground-Penetrating Radar Investigation and Joint Pruning | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 1 | |
| dc.journal.title | Journal of Transportation Engineering, Part B: Pavements | |
| dc.identifier.doi | 10.1061/JPEODX.PVENG-1869 | |
| dc.journal.fristpage | 04025063-1 | |
| dc.journal.lastpage | 04025063-10 | |
| dc.page | 10 | |
| dc.tree | Journal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 001 | |
| dc.contenttype | Fulltext | |
