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    Predicting the compressive strength of engineered geopolymer composites using automated machine learning

    New search for: Gad, Mahmoud Anwar
    New search for: Nikbakht, Ehsan
    New search for: Ragab, Mohammed Gamal

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    Predicting the compressive strength of engineered geopolymer composites using automated machine learning

    New search for: Gad, Mahmoud Anwar
    New search for: Nikbakht, Ehsan
    New search for: Ragab, Mohammed Gamal

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Predicting the compressive strength of engineered geopolymer composites using automated machine learning

    New search for: Gad, Mahmoud Anwar
    New search for: Nikbakht, Ehsan
    New search for: Ragab, Mohammed Gamal

    Access

    Check access
    Check availability in my library
    Order at Subito €

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    Document information
    Title:

    Predicting the compressive strength of engineered geopolymer composites using automated machine learning

    Additional title:

    Construction and Building Materials

    Contributors:

    Gad, Mahmoud Anwar (author) / Nikbakht, Ehsan (author) / Ragab, Mohammed Gamal (author)

    Published in:

    Construction and Building Materials ; 442 ; 137509

    Publication date:

    2024-09-01

    ISSN:

    0950-0618

    DOI:

    https://doi.org/10.1016/j.conbuildmat.2024.137509

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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