Predicting the compressive strength of self-compacting concrete using artificial intelligence techniques: a review
- 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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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
- Urheber
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Terlumun, Sesugh
Onyia, M. E.
Okafor, F. O.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s43503-024-00029-3
- URN
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urn:nbn:de:101:1-2411132110431.532299216083
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Terlumun, Sesugh
- Onyia, M. E.
- Okafor, F. O.
- SpringerLink (Online service)
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