- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2192-1962
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Modelling email traffic workloads with RNN and LSTM models ; volume:10 ; number:1 ; day:2 ; month:9 ; year:2020 ; pages:1-16 ; date:12.2020
Human-centric computing and information sciences ; 10, Heft 1 (2.9.2020), 1-16, 12.2020
- Urheber
-
Om, Khandu
Boukoros, Spyros
Nugaliyadde, Anupiya
McGill, Tanya
Dixon, Michael
Koutsakis, Polychronis
Wong, Kok Wai
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13673-020-00242-w
- URN
-
urn:nbn:de:101:1-2020102321361686752101
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:38 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Om, Khandu
- Boukoros, Spyros
- Nugaliyadde, Anupiya
- McGill, Tanya
- Dixon, Michael
- Koutsakis, Polychronis
- Wong, Kok Wai
- SpringerLink (Online service)
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