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

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005::page 04026050-1
    Author:
    Li, Xinping
    ,
    Cui, Haojie
    ,
    Wang, Liangjun
    ,
    Qu, Dengxing
    ,
    Du, Peng
    ,
    Dai, Aoxiong
    ,
    Shang, Zichen
    DOI: 10.1061/JCCEE5.CPENG-7391
    Publisher: American Society of Civil Engineers
    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)–...
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      Deep Learning–Based Few-Shot Method for Detection and Evaluation of Tunnel Overbreak and Underbreak

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314517
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    • Journal of Computing in Civil Engineering

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    contributor authorLi, Xinping
    contributor authorCui, Haojie
    contributor authorWang, Liangjun
    contributor authorQu, Dengxing
    contributor authorDu, Peng
    contributor authorDai, Aoxiong
    contributor authorShang, Zichen
    date accessioned2026-08-20T21:28:35Z
    date available2026-08-20T21:28:35Z
    date copyright2026/05/17
    date issued2026
    identifier otherJCCEE5.CPENG-7391.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314517
    description abstractAbstractAccurate 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)–...
    publisherAmerican Society of Civil Engineers
    titleDeep Learning–Based Few-Shot Method for Detection and Evaluation of Tunnel Overbreak and Underbreak
    typeJournal Article
    journal volume40
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7391
    journal fristpage04026050-1
    journal lastpage04026050-12
    page12
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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