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dc.contributor.authorSirhan, Mai
dc.contributor.authorBekhor, Shlomo
dc.contributor.authorSidess, Arieh
dc.date.accessioned2026-08-20T12:02:16Z
dc.date.available2026-08-20T12:02:16Z
dc.date.copyright2026/03/24
dc.date.issued2026
dc.identifier.otherJPEODX.PVENG-1886.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313008
dc.description.abstractAbstractPavement 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, ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDetecting and Locating Multiple Pavement Distresses Using Weakly Supervised Learning Methods
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Transportation Engineering, Part B: Pavements
dc.identifier.doi10.1061/JPEODX.PVENG-1886
dc.journal.fristpage04026016-1
dc.journal.lastpage04026016-13
dc.page13
dc.treeJournal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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