• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Audio-Based Excavator Preoperational Checks Using Few-Shot Deep Learning

    Thumbnail
    View/Open
    JCEMD4.COENG-17031.pdf (2.938Mb)
    Date
    2026
    Author
    Zhou, Yuhan
    Liang, Houhao
    Foo, Zhen Lin
    Koh, Yong Zhi
    Yeoh, Justin K. W.
    Metadata
    Show full item record
    Abstract
    AbstractRoutine maintenance of construction machinery, such as excavators, is essential for ensuring operational efficiency and reliability. A key component of this process is the daily preoperational check, which traditionally relies on workers’ auditory ...Practical ApplicationsThis study introduces a simple yet powerful method to help construction teams detect machinery problems early—before they lead to costly breakdowns. Currently, workers often rely on what they hear to judge whether a machine, such as ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4311103
    Collections
    • Journal of Construction Engineering and Management

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV