A robust and resilience machine learning for forecasting agri-food production
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A robust and resilience machine learning for forecasting agri-food production ; volume:12 ; number:1 ; day:16 ; month:12 ; year:2022 ; pages:1-16 ; date:12.2022
Scientific reports ; 12, Heft 1 (16.12.2022), 1-16, 12.2022
- Klassifikation
-
Wirtschaft
- Urheber
-
Lotfi, Reza
Gholamrezaei, Amin
Kadłubek, Marta
Afshar, Mohamad
Ali, Sadia Samar
Kheiri, Kiana
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-26449-8
- URN
-
urn:nbn:de:101:1-2023022721162154496399
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Lotfi, Reza
- Gholamrezaei, Amin
- Kadłubek, Marta
- Afshar, Mohamad
- Ali, Sadia Samar
- Kheiri, Kiana
- SpringerLink (Online service)
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