YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Transportation Engineering, Part B: Pavements
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Transportation Engineering, Part B: Pavements
    • 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

    Crack Detection and Quantification of Rural Cement Concrete Pavements Based on Deep-Learning Fusion Model

    Source: Journal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 001::page 04025062-1
    Author:
    Zhang, Xiaoyue
    ,
    Wang, Meng
    ,
    Liu, Cheng
    ,
    Xu, Huitong
    ,
    Yang, Yanze
    DOI: 10.1061/JPEODX.PVENG-1969
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn order to meet the needs of engineering specifications for crack detection and quantitative assessment of rural cement concrete pavements, a method for accurate detection and quantification of cracks is proposed. A deep learning fusion model, ...
    • Download: (3.477Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Crack Detection and Quantification of Rural Cement Concrete Pavements Based on Deep-Learning Fusion Model

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313020
    Collections
    • Journal of Transportation Engineering, Part B: Pavements

    Show full item record

    contributor authorZhang, Xiaoyue
    contributor authorWang, Meng
    contributor authorLiu, Cheng
    contributor authorXu, Huitong
    contributor authorYang, Yanze
    date accessioned2026-08-20T12:02:45Z
    date available2026-08-20T12:02:45Z
    date copyright2025/11/29
    date issued2026
    identifier otherJPEODX.PVENG-1969.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313020
    description abstractAbstractIn order to meet the needs of engineering specifications for crack detection and quantitative assessment of rural cement concrete pavements, a method for accurate detection and quantification of cracks is proposed. A deep learning fusion model, ...
    publisherAmerican Society of Civil Engineers
    titleCrack Detection and Quantification of Rural Cement Concrete Pavements Based on Deep-Learning Fusion Model
    typeJournal Article
    journal volume152
    journal issue1
    journal titleJournal of Transportation Engineering, Part B: Pavements
    identifier doi10.1061/JPEODX.PVENG-1969
    journal fristpage04025062-1
    journal lastpage04025062-11
    page11
    treeJournal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;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