Forecasting the evolution of fast-changing transportation networks using machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2041-1723
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Forecasting the evolution of fast-changing transportation networks using machine learning ; volume:13 ; number:1 ; day:22 ; month:7 ; year:2022 ; pages:1-12 ; date:12.2022
Nature Communications ; 13, Heft 1 (22.7.2022), 1-12, 12.2022
- Urheber
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Lei, Weihua
Alves, Luiz G. A.
Amaral, Luís A. Nunes
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41467-022-31911-2
- URN
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urn:nbn:de:101:1-2022100322585847905764
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
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Beteiligte
- Lei, Weihua
- Alves, Luiz G. A.
- Amaral, Luís A. Nunes
- SpringerLink (Online service)
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