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    Mining Co-Occurrence Patterns among Deep Road Distresses Using Association Rule Analysis 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 148 ):;issue: 001:;page 04021078
    Author(s): Qian Gao; Chenglong Liu; Yishun Li; Yuchuan Du; Guanghua Yue; Bing Liu
    Publisher: ASCE
    Abstract: Co-occurrence patterns among different deep road distresses (distresses below the road surface) play a pivotal role in road maintenance. It is essential for the sustainable development of road performance and draws much ...
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    RoadID: A Dedicated Deep Convolutional Neural Network for Multipavement Distress Detection 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 147 ):;issue: 004:;page 04021057-1
    Author(s): Yishun Li; Chenglong Liu; Yu Shen; Jing Cao; Shanchuan Yu; Yuchuan Du
    Publisher: ASCE
    Abstract: Pavement distress detection is of great significance to pavement maintenance and management. Currently, image-processing methods have been developed, especially with the widespread use of the convolutional neural networks ...
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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