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    An Unsupervised Acoustic Denoising Model for Water Leakage Detection

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001::page 04025113-1
    Author:
    Su, Yang
    ,
    Wang, Jun
    ,
    Wu, Peng
    ,
    Carey, Brad
    ,
    Yue, Hongzhe
    ,
    Shou, Wenchi
    DOI: 10.1061/JCCEE5.CPENG-6697
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe global issue of water loss due to leakage in water distribution networks (WDNs) is considerable. Acoustic methods are preferred for leak detection because they are noninvasive, efficient, and cost-effective. However, distinguishing leaks from ...
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      An Unsupervised Acoustic Denoising Model for Water Leakage Detection

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314418
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    contributor authorSu, Yang
    contributor authorWang, Jun
    contributor authorWu, Peng
    contributor authorCarey, Brad
    contributor authorYue, Hongzhe
    contributor authorShou, Wenchi
    date accessioned2026-08-20T21:25:04Z
    date available2026-08-20T21:25:04Z
    date copyright2025/09/23
    date issued2026
    identifier otherJCCEE5.CPENG-6697.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314418
    description abstractAbstractThe global issue of water loss due to leakage in water distribution networks (WDNs) is considerable. Acoustic methods are preferred for leak detection because they are noninvasive, efficient, and cost-effective. However, distinguishing leaks from ...
    publisherAmerican Society of Civil Engineers
    titleAn Unsupervised Acoustic Denoising Model for Water Leakage Detection
    typeJournal Article
    journal volume40
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6697
    journal fristpage04025113-1
    journal lastpage04025113-13
    page13
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
    contenttypeFulltext
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