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

    Deep Learning–Based Few-Shot Method for Detection and Evaluation of Tunnel Overbreak and Underbreak

    Thumbnail
    View/Open
    JCCEE5.CPENG-7391.pdf (3.513Mb)
    Date
    2026
    Author
    Li, Xinping
    Cui, Haojie
    Wang, Liangjun
    Qu, Dengxing
    Du, Peng
    Dai, Aoxiong
    Shang, Zichen
    Metadata
    Show full item record
    Abstract
    AbstractAccurate quantification of overbreak and underbreak is essential for tunnel quality, cost, and stability. Point-cloud methods struggle with sparse labels, heavy site noise, and strict profile continuity. We introduce a three-dimensional (3D)–...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4314517
    Collections
    • Journal of Computing in Civil Engineering

    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