| contributor author | Sirhan, Mai | |
| contributor author | Bekhor, Shlomo | |
| contributor author | Sidess, Arieh | |
| date accessioned | 2026-08-20T12:02:16Z | |
| date available | 2026-08-20T12:02:16Z | |
| date copyright | 2026/03/24 | |
| date issued | 2026 | |
| identifier other | JPEODX.PVENG-1886.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313008 | |
| description abstract | AbstractPavement management and rehabilitation systems require reliable detection and assessment
of road pavement distresses. Traditional methods that rely on visual inspections and
manual surveys are time-consuming and inconsistent. Several computer ...Practical ApplicationsMaintaining roads in good condition is essential for safe and cost-effective transportation.
Traditional methods for identifying pavement damage rely on visual inspection or complex
models that need large amounts of detailed, ... | |
| publisher | American Society of Civil Engineers | |
| title | Detecting and Locating Multiple Pavement Distresses Using Weakly Supervised Learning Methods | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 2 | |
| journal title | Journal of Transportation Engineering, Part B: Pavements | |
| identifier doi | 10.1061/JPEODX.PVENG-1886 | |
| journal fristpage | 04026016-1 | |
| journal lastpage | 04026016-13 | |
| page | 13 | |
| tree | Journal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 002 | |
| contenttype | Fulltext | |