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    Machine Learning–Based Framework for Prediction of Retroreflectivity Degradation of Pavement Markings across the US 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2024:;Volume ( 150 ):;issue: 002:;page 04024011-1
    Author(s): Ipshit Ibne Idris; Momen Mousa; Marwa M. Hassan
    Publisher: ASCE
    Abstract: Pavement markings are essential traffic control devices that enhance safety for motorists during nighttime. Numerous statistical learning models have been developed in prior studies to predict the retroreflectivity of the ...
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    Effect of Sodium Alginate Fibers Encapsulating Rejuvenators on the Self-Healing Capability and Cracking Resistance of Asphalt Mixtures 

    Source: Journal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 012
    Author(s): Farah Zaremotekhases; Ipshit Ibne Idris; Marwa M. Hassan; Louay N. Mohammad; Ioan I. Negulescu
    Publisher: ASCE
    Abstract: In this study, the effect of adding sodium alginate fibers to enhance the self-healing capability of asphalt mixtures was evaluated. Two fiber types containing two different rejuvenators were synthesized, and their production ...
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