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    Methodology for Accurate AASHTO PP67-10–Based Cracking Quantification Using 1-mm 3D Pavement Images 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 002
    Author(s): Shi Qiu; Wenjuan Wang; Shaofan Wang; Kelvin C. P. Wang
    Publisher: American Society of Civil Engineers
    Abstract: Quantification of cracking is crucial to assessing overall cracking condition, monitoring cracking propagation, and other pavement design and managerial decision-making purposes. For a majority of the highway agencies, the ...
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    Toward PM2.5 Distribution Patterns Inside Symmetric and Asymmetric Street Canyons: Experimental Study 

    Source: Journal of Environmental Engineering:;2021:;Volume ( 147 ):;issue: 007:;page 04021016-1
    Author(s): Zhonghua Wei; Jingxuan Peng; Xinwang Ma; Shi Qiu; Shaofan Wang
    Publisher: ASCE
    Abstract: Distribution patterns of particulate matter 2.5 (PM2.5) inside urban street canyons varies according to the street canyon enclosure ratio (SCER) and traffic flow states, and therefore they affect people in different positions ...
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    Cracking Classification Using Minimum Rectangular Cover–Based Support Vector Machine 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
    Author(s): Shaofan Wang; Shi Qiu; Wenjuan Wang; Danny Xiao; Kelvin C. P. Wang
    Publisher: American Society of Civil Engineers
    Abstract: Cracking characterization is one of the most important tasks in automated pavement data analysis. Although cracking detection and segmentation algorithms have become more reliable in recent years, accurate cracking ...
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    DSpace software copyright © 2002-2015  DuraSpace
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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