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    1D–CNN with SMOTE for Acoustic Detection and Classification of Structural Defects in Municipal Sewage Pipelines: Addressing Imbalanced Data Set and High Sewage Level Challenges

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 002::page 04026016-1
    Author:
    Wang, Xiaocen
    ,
    Cui, Nuo
    ,
    Fan, Jinpeng
    ,
    Gu, Yijie
    ,
    Zhang, Jun
    ,
    Liu, Nannan
    ,
    An, Yang
    ,
    Hu, Xinyue
    ,
    Qu, Zhigang
    DOI: 10.1061/JPSEA2.PSENG-1962
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe rapid growth of urbanization has led to an increase in the size of sewage pipelines. However, due to factors such as environmental conditions, misuse, and age, many pipelines are defective to varying degrees and thus impact the ecosystem. ...
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      1D–CNN with SMOTE for Acoustic Detection and Classification of Structural Defects in Municipal Sewage Pipelines: Addressing Imbalanced Data Set and High Sewage Level Challenges

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313107
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    • Journal of Pipeline Systems Engineering and Practice

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    contributor authorWang, Xiaocen
    contributor authorCui, Nuo
    contributor authorFan, Jinpeng
    contributor authorGu, Yijie
    contributor authorZhang, Jun
    contributor authorLiu, Nannan
    contributor authorAn, Yang
    contributor authorHu, Xinyue
    contributor authorQu, Zhigang
    date accessioned2026-08-20T12:06:31Z
    date available2026-08-20T12:06:31Z
    date copyright2026/02/19
    date issued2026
    identifier otherJPSEA2.PSENG-1962.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313107
    description abstractAbstractThe rapid growth of urbanization has led to an increase in the size of sewage pipelines. However, due to factors such as environmental conditions, misuse, and age, many pipelines are defective to varying degrees and thus impact the ecosystem. ...
    publisherAmerican Society of Civil Engineers
    title1D–CNN with SMOTE for Acoustic Detection and Classification of Structural Defects in Municipal Sewage Pipelines: Addressing Imbalanced Data Set and High Sewage Level Challenges
    typeJournal Article
    journal volume17
    journal issue2
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1962
    journal fristpage04026016-1
    journal lastpage04026016-12
    page12
    treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian