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    Title :

    Supervised machine learning techniques for predicting multiple damage classes in bridges


    Contributors:

    Conference:

    Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023



    Publication date :

    2023-01-01


    Size :

    1 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English



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