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    Topological Data Analysis for Railway Track Geometry Safety and Maintenance 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005:;page 04025073-1
    Author(s): Woldemariam, Petros; Attoh-Okine, Nii
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper explores the use of topological data analysis (TDA) to improve railway track geometry, focusing on enhancing safety and maintenance. It uses methods such as Betti numbers, homology, and the Mapper algorithm ...
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    Railway Track Quality Assessment Using Topological Data Analysis 

    Source: Journal of Infrastructure Systems:;2026:;Volume ( 032 ):;issue: 003:;page 04026015-1
    Author(s): Woldemariam, Petros; Attoh-Okine, Nii
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe US railway system requires continuous monitoring to ensure safety and efficiency. Traditional track quality indices (TQI) often fail to detect variations in track geometry, missing critical irregularities that ...
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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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