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    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(s): Wang, Junling; Cui, Zetong; Wang, Honghong; Wang, Chenchen; Liu, Yanhong; Zhang, Xianguo; Huang, Jinyu
    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 ...
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    Detection and Effectiveness of Improved Drainage Pipe Defects–Based Semantic Segmentation Labeling Methods 

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004:;page 04025067-1
    Author(s): Wang, Junling; Wang, Chenchen; Liu, Yanhong; Zhang, Xianguo; Huang, Jinyu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study investigates how to optimize and improve defect sample labeling techniques using 15 different types of drainage pipe flaws. The link between the overall labeling approach and model performance is not ...
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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
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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