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    Efficient Pavement Damage Detection Algorithm Based on Lightweight Feature Enhancement Network

    Source: Journal of Performance of Constructed Facilities:;2025:;Volume ( 039 ):;issue: 005::page 04025049-1
    Author:
    Wang, Hui
    ,
    Sun, Guosheng
    ,
    Yang, Jianping
    ,
    Zhang, Zhiqiang
    ,
    Guo, Tong
    DOI: 10.1061/JPCFEV.CFENG-5120
    Publisher: American Society of Civil Engineers
    Abstract: AbstractEfficient detection of pavement damage in complex natural environments is crucial for intelligent maintenance of transportation infrastructure. To address challenges related to structural complexity, resource utilization, and detection accuracy, ...
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      Efficient Pavement Damage Detection Algorithm Based on Lightweight Feature Enhancement Network

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312930
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    • Journal of Performance of Constructed Facilities

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    contributor authorWang, Hui
    contributor authorSun, Guosheng
    contributor authorYang, Jianping
    contributor authorZhang, Zhiqiang
    contributor authorGuo, Tong
    date accessioned2026-08-20T11:58:56Z
    date available2026-08-20T11:58:56Z
    date copyright2025/08/04
    date issued2025
    identifier otherJPCFEV.CFENG-5120.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312930
    description abstractAbstractEfficient detection of pavement damage in complex natural environments is crucial for intelligent maintenance of transportation infrastructure. To address challenges related to structural complexity, resource utilization, and detection accuracy, ...
    publisherAmerican Society of Civil Engineers
    titleEfficient Pavement Damage Detection Algorithm Based on Lightweight Feature Enhancement Network
    typeJournal Article
    journal volume39
    journal issue5
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/JPCFEV.CFENG-5120
    journal fristpage04025049-1
    journal lastpage04025049-14
    page14
    treeJournal of Performance of Constructed Facilities:;2025:;Volume ( 039 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian