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    Detecting and Locating Multiple Pavement Distresses Using Weakly Supervised Learning Methods

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    JPEODX.PVENG-1886.pdf (5.687Mb)
    Date
    2026
    Author
    Sirhan, Mai
    Bekhor, Shlomo
    Sidess, Arieh
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    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, ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4313008
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    • Journal of Transportation Engineering, Part B: Pavements

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