Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings: Fid-Bau Portal

Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings

Obianyo, Ifeyinwa Ijeoma / Auta, Jonathan Timothy / Sciacca, David / Mahamat, Assia Aboubakar / Kelechi, Sylvia Echezona / Onwualu, Azikiwe Peter

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Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings

Obianyo, Ifeyinwa Ijeoma / Auta, Jonathan Timothy / Sciacca, David / Mahamat, Assia Aboubakar / Kelechi, Sylvia Echezona / Onwualu, Azikiwe Peter

Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings

Obianyo, Ifeyinwa Ijeoma / Auta, Jonathan Timothy / Sciacca, David / Mahamat, Assia Aboubakar / Kelechi, Sylvia Echezona / Onwualu, Azikiwe Peter

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Titel:

Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings

Weitere Titelangaben:

Discov Civ Eng

Beteiligte:

Obianyo, Ifeyinwa Ijeoma (Autor:in) / Auta, Jonathan Timothy (Autor:in) / Sciacca, David (Autor:in) / Mahamat, Assia Aboubakar (Autor:in) / Kelechi, Sylvia Echezona (Autor:in) / Onwualu, Azikiwe Peter (Autor:in)

Erschienen in:

Discover Civil Engineering ; 1

Erscheinungsdatum:

13.08.2024

ISSN:

2948-1546

DOI:

https://doi.org/10.1007/s44290-024-00052-4

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

https://creativecommons.org/licenses/by-nc-nd/4.0

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