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    An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems

    Source: Journal of Performance of Constructed Facilities:;2025:;Volume ( 039 ):;issue: 006::page 04025058-1
    Author:
    Yang, Ke
    ,
    Tan, Miao
    ,
    Liao, Haitao
    ,
    Hernandez Azucena, Jose Carlos
    ,
    Yuan, Junlang
    ,
    Ham, Richard
    DOI: 10.1061/JPCFEV.CFENG-5264
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIt has been one of the most critical challenges to maintain a healthy, livable, and sustainable building environment. As part of such efforts, it is desired to efficiently inspect roofs that cover a large portion of building areas and quickly ...Practical ApplicationsThe results of this study underscore the practical potential of UAV-based visual inspection methods for the maintenance of constructed facilities. By integrating multisource imagery with advanced machine learning models, we propose ...
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      An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312951
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    • Journal of Performance of Constructed Facilities

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    contributor authorYang, Ke
    contributor authorTan, Miao
    contributor authorLiao, Haitao
    contributor authorHernandez Azucena, Jose Carlos
    contributor authorYuan, Junlang
    contributor authorHam, Richard
    date accessioned2026-08-20T11:59:48Z
    date available2026-08-20T11:59:48Z
    date copyright2025/09/16
    date issued2025
    identifier otherJPCFEV.CFENG-5264.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312951
    description abstractAbstractIt has been one of the most critical challenges to maintain a healthy, livable, and sustainable building environment. As part of such efforts, it is desired to efficiently inspect roofs that cover a large portion of building areas and quickly ...Practical ApplicationsThe results of this study underscore the practical potential of UAV-based visual inspection methods for the maintenance of constructed facilities. By integrating multisource imagery with advanced machine learning models, we propose ...
    publisherAmerican Society of Civil Engineers
    titleAn Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems
    typeJournal Article
    journal volume39
    journal issue6
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/JPCFEV.CFENG-5264
    journal fristpage04025058-1
    journal lastpage04025058-14
    page14
    treeJournal of Performance of Constructed Facilities:;2025:;Volume ( 039 ):;issue: 006
    contenttypeFulltext
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    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian