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    Analyzing Safety Risk Imposed by Jobsite Debris to Nearby Built Environments Using Geometric Digital Twins and Vision-Based Deep Learning 

    Source: Journal of Computing in Civil Engineering:;2022:;Volume ( 036 ):;issue: 006:;page 04022033
    Author(s): Mirsalar Kamari; Jaeyoon Kim; Youngjib Ham
    Publisher: ASCE
    Abstract: Extreme wind events can pick up loose and small objects on the ground, and once the objects become airborne, they negatively impact surrounding communities due to the collision impact. In this regard, jobsites and laydown ...
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    Large-Scale Visual Data–Driven Probabilistic Risk Assessment of Utility Poles Regarding the Vulnerability of Power Distribution Infrastructure Systems 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 010:;page 04021121-1
    Author(s): Jaeyoon Kim; Mirsalar Kamari; Seulbi Lee; Youngjib Ham
    Publisher: ASCE
    Abstract: Inspecting and assessing existing utility poles has become increasingly important for reducing the vulnerability of power distribution infrastructure systems in disaster situations, which can enhance community resilience. ...
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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