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


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