Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches
- 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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Forecasting the strength of preplaced aggregate concrete using interpretable machine learning approaches ; volume:14 ; number:1 ; day:10 ; month:4 ; year:2024 ; pages:1-28 ; date:12.2024
Scientific reports ; 14, Heft 1 (10.4.2024), 1-28, 12.2024
- Urheber
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Javed, Muhammad Faisal
Fawad, Muhammad
Lodhi, Rida
Najeh, Taoufik
Gamil, Yaser
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41598-024-57896-0
- URN
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urn:nbn:de:101:1-2406250915437.875012065391
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
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Beteiligte
- Javed, Muhammad Faisal
- Fawad, Muhammad
- Lodhi, Rida
- Najeh, Taoufik
- Gamil, Yaser
- SpringerLink (Online service)
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