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    Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study

    New search for: Abdellatief, Mohamed
    New search for: Hassan, Youssef M.
    New search for: Elnabwy, Mohamed T.
    New search for: Wong, Leong Sing
    New search for: Chin, Ren Jie
    New search for: Mo, Kim Hung

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    Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study

    New search for: Abdellatief, Mohamed
    New search for: Hassan, Youssef M.
    New search for: Elnabwy, Mohamed T.
    New search for: Wong, Leong Sing
    New search for: Chin, Ren Jie
    New search for: Mo, Kim Hung

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study

    New search for: Abdellatief, Mohamed
    New search for: Hassan, Youssef M.
    New search for: Elnabwy, Mohamed T.
    New search for: Wong, Leong Sing
    New search for: Chin, Ren Jie
    New search for: Mo, Kim Hung

    Access

    Check access
    Check availability in my library
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    Access

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    Document information
    Title:

    Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study

    Additional title:

    Construction and Building Materials

    Contributors:

    Abdellatief, Mohamed (author) / Hassan, Youssef M. (author) / Elnabwy, Mohamed T. (author) / Wong, Leong Sing (author) / Chin, Ren Jie (author) / Mo, Kim Hung (author)

    Published in:

    Construction and Building Materials ; 436

    Publication date:

    2024-07-01

    ISSN:

    0950-0618

    DOI:

    https://doi.org/10.1016/j.conbuildmat.2024.136884

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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