Predicting the compressive strength of self-compacting concrete using artificial intelligence techniques: a review

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Predicting the compressive strength of self-compacting concrete using artificial intelligence techniques: a review ; volume:3 ; number:1 ; day:28 ; month:8 ; year:2024 ; pages:1-14 ; date:12.2024
AI in civil engineering ; 3, Heft 1 (28.8.2024), 1-14, 12.2024

Creator: Terlumun, Sesugh
Onyia, M. E.
Okafor, F. O.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s43503-024-00029-3

URN: urn:nbn:de:101:1-2411132110431.532299216083

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

Last update: 15.08.2025, 7:24 AM CEST

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Terlumun, Sesugh
Onyia, M. E.
Okafor, F. O.
SpringerLink (Online service)

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Predicting the compressive strength of self-compacting concrete using artificial intelligence techniques: a review

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Other Objects (12)

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