DeepCrypt - deep learning for QoE monitoring and fingerprinting of user actions in adaptive video streaming
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: 2022 IEEE 8th International Conference on Network Softwarization (NetSoft), 27 June 2022 - 1 July 2022, Milan, Italy, S. 259-263
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2022
- Ereignis
-
Veröffentlichung
- (wo)
-
Piscataway, NJ
- (wer)
-
IEEE
- (wann)
-
2022
- Urheber
-
Casas, Pedro
Seufert, Michael Thomas
Wassermann, Sarah
Gardlo, Bruno
Wehner, Nikolas
Schatz, Raimund
- Beteiligte Personen und Organisationen
-
Clemm, Alexander
Maier, Guido
Mas Machuca, Carmen
Ramakrishnan, K. K.
Risso, Fulvio
Chemouil, Prosper
Limam, Noura
- DOI
-
10.1109/netsoft54395.2022.9844113
- URN
-
urn:nbn:de:bvb:384-opus4-1072531
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Casas, Pedro
- Seufert, Michael Thomas
- Wassermann, Sarah
- Gardlo, Bruno
- Wehner, Nikolas
- Schatz, Raimund
- Clemm, Alexander
- Maier, Guido
- Mas Machuca, Carmen
- Ramakrishnan, K. K.
- Risso, Fulvio
- Chemouil, Prosper
- Limam, Noura
- Universität Augsburg
- IEEE
Entstanden
- 2022
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