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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings ; volume:1 ; number:1 ; day:13 ; month:8 ; year:2024 ; pages:1-20 ; date:12.2024
Discover civil engineering ; 1, Heft 1 (13.8.2024), 1-20, 12.2024

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

Contributor: SpringerLink (Online service)

DOI: 10.1007/s44290-024-00052-4

URN: urn:nbn:de:101:1-2411010745000.910787824396

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Obianyo, Ifeyinwa Ijeoma
Auta, Jonathan Timothy
Sciacca, David
Mahamat, Assia Aboubakar
Kelechi, Sylvia Echezona
Onwualu, Azikiwe Peter
SpringerLink (Online service)

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

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Other Objects (12)

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