Machine learning models for predicting the compressive strength of agro-waste stabilized bricks for sustainable buildings
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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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
- Urheber
-
Obianyo, Ifeyinwa Ijeoma
Auta, Jonathan Timothy
Sciacca, David
Mahamat, Assia Aboubakar
Kelechi, Sylvia Echezona
Onwualu, Azikiwe Peter
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s44290-024-00052-4
- URN
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urn:nbn:de:101:1-2411010745000.910787824396
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:21 MESZ
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Beteiligte
- Obianyo, Ifeyinwa Ijeoma
- Auta, Jonathan Timothy
- Sciacca, David
- Mahamat, Assia Aboubakar
- Kelechi, Sylvia Echezona
- Onwualu, Azikiwe Peter
- SpringerLink (Online service)
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