Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2196-1115
- 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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Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning ; volume:8 ; number:1 ; day:4 ; month:12 ; year:2021 ; pages:1-25 ; date:12.2021
Journal of Big Data ; 8, Heft 1 (4.12.2021), 1-25, 12.2021
- Urheber
-
Razali, Noor Afiza Mat
Shamsaimon, Nuraini
Ishak, Khairul Khalil
Ramli, Suzaimah
Amran, Mohd Fahmi Mohamad
Sukardi, Sazali
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s40537-021-00542-7
- URN
-
urn:nbn:de:101:1-2022020720494531322391
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
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Beteiligte
- Razali, Noor Afiza Mat
- Shamsaimon, Nuraini
- Ishak, Khairul Khalil
- Ramli, Suzaimah
- Amran, Mohd Fahmi Mohamad
- Sukardi, Sazali
- SpringerLink (Online service)
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