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    Role of Data Analytics in Infrastructure Asset Management: Overcoming Data Size and Quality Problems 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 002
    Author(s): S. Madeh Piryonesi; Tamer E. El-Diraby
    Publisher: ASCE
    Abstract: This study explores the performance regime of different classification algorithms as they are applied to the analysis of asphalt pavement deterioration data. The aim is to examine how different algorithms deal with the ...
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    Data Analytics in Asset Management: Cost-Effective Prediction of the Pavement Condition Index 

    Source: Journal of Infrastructure Systems:;2020:;Volume ( 026 ):;issue: 001
    Author(s): S. Madeh Piryonesi; Tamer E. El-Diraby
    Publisher: ASCE
    Abstract: Understanding the deterioration of roads is an important part of road asset management. In this study, the long-term pavement performance (LTPP) data and machine learning algorithms were used to predict the deterioration ...
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    Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling 

    Source: Journal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 002:;page 04021005-1
    Author(s): S. Madeh Piryonesi; Tamer E. El-Diraby
    Publisher: ASCE
    Abstract: Limited research has been conducted on the application of data analytics to the prediction of the Pavement Condition Index (PCI) of asphalt roads. More importantly, studies comparing the prediction results of these algorithms ...
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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