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    Implementation of Deep Neural Networks for Pavement Condition Index Prediction 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 148 ):;issue: 001:;page 04021070
    Author(s): Mai Sirhan; Shlomo Bekhor; Arieh Sidess
    Publisher: ASCE
    Abstract: Pavement condition index (PCI) is commonly used in pavement management systems (PMS) for indicating the extent of the distresses on the pavement surface. PCI values are a function of distress type, severity, and density. ...
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    Multilabel CNN Model for Asphalt Distress Classification 

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 001:;page 04023040-1
    Author(s): Mai Sirhan; Shlomo Bekhor; Arieh Sidess
    Publisher: ASCE
    Abstract: One of the most challenging tasks in pavement management and rehabilitation is to detect and classify different distress types from images collected during field surveys. In this paper, a multilabel convolutional neural ...
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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
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