YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Pipeline Systems Engineering and Practice
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Pipeline Systems Engineering and Practice
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Drainage Pipe Defect Detection and Effect Analysis Based on Improved YOLOv8_DGW

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001::page 04025104-1
    Author:
    Wang, Junling
    ,
    Cui, Zetong
    ,
    Wang, Honghong
    ,
    Wang, Chenchen
    ,
    Liu, Yanhong
    ,
    Zhang, Xianguo
    ,
    Huang, Jinyu
    DOI: 10.1061/JPSEA2.PSENG-1907
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis work redefined and categorized the drainage pipe defect classification method in China through the lens of computer vision interpretation, addressing the inefficiencies and excessive costs associated with existing methodologies. Based on this,...
    • Download: (2.383Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Drainage Pipe Defect Detection and Effect Analysis Based on Improved YOLOv8_DGW

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313089
    Collections
    • Journal of Pipeline Systems Engineering and Practice

    Show full item record

    contributor authorWang, Junling
    contributor authorCui, Zetong
    contributor authorWang, Honghong
    contributor authorWang, Chenchen
    contributor authorLiu, Yanhong
    contributor authorZhang, Xianguo
    contributor authorHuang, Jinyu
    date accessioned2026-08-20T12:05:42Z
    date available2026-08-20T12:05:42Z
    date copyright2025/10/22
    date issued2026
    identifier otherJPSEA2.PSENG-1907.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313089
    description abstractAbstractThis work redefined and categorized the drainage pipe defect classification method in China through the lens of computer vision interpretation, addressing the inefficiencies and excessive costs associated with existing methodologies. Based on this,...
    publisherAmerican Society of Civil Engineers
    titleDrainage Pipe Defect Detection and Effect Analysis Based on Improved YOLOv8_DGW
    typeJournal Article
    journal volume17
    journal issue1
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1907
    journal fristpage04025104-1
    journal lastpage04025104-13
    page13
    treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian