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    Comparative Analysis of Markovian Methodologies for Modeling Infrastructure System Performance 

    Source: Journal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 002:;page 04021003-1
    Author(s): Mohamed S. Yamany; Dulcy M. Abraham; Samuel Labi
    Publisher: ASCE
    Abstract: Various types of Markov chain methodologies have been used in past research to develop stochastic performance models for infrastructure systems—the staged-homogeneous, nonhomogeneous, homogeneous, semi-, and hidden Markov. ...
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    Hybrid Approach to Incorporate Preventive Maintenance Effectiveness into Probabilistic Pavement Performance Models 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 147 ):;issue: 001:;page 04020077
    Author(s): Mohamed S. Yamany; Dulcy M. Abraham
    Publisher: ASCE
    Abstract: Various methodologies are being developed to build and improve probabilistic pavement performance models that have high prediction capabilities. However, the effectiveness of preventive maintenance (PM) has not been ...
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    Detection of Unreported Treatments in Pavement Management System of Iowa DOT Using Machine Learning Classification Algorithm 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 004:;page 04022058
    Author(s): Yazan Abukhalil; Mohamed S. Yamany; Omar Smadi
    Publisher: ASCE
    Abstract: Treatment records are among the most frequently underreported data items in pavement management systems (PMSs), which negatively affects various PMS analysis tools, such as pavement performance and deterioration models. ...
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    Characterizing the Performance of Interstate Flexible Pavements Using Artificial Neural Networks and Random Parameters Regression 

    Source: Journal of Infrastructure Systems:;2020:;Volume ( 026 ):;issue: 002
    Author(s): Mohamed S. Yamany; Tariq Usman Saeed; Matthew Volovski; Anwaar Ahmed
    Publisher: ASCE
    Abstract: Past studies developed pavement performance models using data from all or multiple states across the United States. This study hypothesized that due to variation in agency practices and work activity profiles, individual ...
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