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    Predicting compressive strength of sustainable concrete using advanced AI models: DLNN, RF, and MARS

    New search for: Wagh, Monali
    New search for: Waghmare, Charuta
    New search for: Gudadhe, Amit
    New search for: Thakur, Nisha
    New search for: Mohammed, Salah J.
    New search for: Algburi, Sameer
    New search for: Majdi, Hasan Sh.
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    Predicting compressive strength of sustainable concrete using advanced AI models: DLNN, RF, and MARS

    New search for: Wagh, Monali
    New search for: Waghmare, Charuta
    New search for: Gudadhe, Amit
    New search for: Thakur, Nisha
    New search for: Mohammed, Salah J.
    New search for: Algburi, Sameer
    New search for: Majdi, Hasan Sh.
    New search for: Ansari, Khalid

    Access

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    Check availability in my library
    Order at Subito €

    Predicting compressive strength of sustainable concrete using advanced AI models: DLNN, RF, and MARS

    New search for: Wagh, Monali
    New search for: Waghmare, Charuta
    New search for: Gudadhe, Amit
    New search for: Thakur, Nisha
    New search for: Mohammed, Salah J.
    New search for: Algburi, Sameer
    New search for: Majdi, Hasan Sh.
    New search for: Ansari, Khalid

    Access

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    Check availability in my library
    Order at Subito €

    Access

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    Document information
    Title:

    Predicting compressive strength of sustainable concrete using advanced AI models: DLNN, RF, and MARS

    Additional title:

    Asian J Civ Eng

    Contributors:

    Wagh, Monali (author) / Waghmare, Charuta (author) / Gudadhe, Amit (author) / Thakur, Nisha (author) / Mohammed, Salah J. (author) / Algburi, Sameer (author) / Majdi, Hasan Sh. (author) / Ansari, Khalid (author)

    Published in:

    Asian Journal of Civil Engineering

    Publication date:

    2025-03-24

    ISSN:

    2522-011X

    DOI:

    https://doi.org/10.1007/s42107-025-01278-y

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

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