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1 Ergebnisse
1
Anomaly Detection using a Semi-Supervised Deep Learning Mod..:
, In:
2023 IEEE Conference on Standards for Communications and Networking (CSCN)
,
Gopikrishnan, Akash
;
Prakash, Arun
;
Hein, Christian
... - p. 106-112 , 2023
Link:
https://doi.org/10.1109/CSCN60443.2023.10453203
RT T1
2023 IEEE Conference on Standards for Communications and Networking (CSCN)
: T1
Anomaly Detection using a Semi-Supervised Deep Learning Model on Open 5G Core Metrics during User-Equipment Registration
UL https://suche.suub.uni-bremen.de/peid=ieee-10453203&Exemplar=1&LAN=DE A1 Gopikrishnan, Akash A1 Prakash, Arun A1 Hein, Christian A1 Mosner, Klauss A1 Corici, Marius A1 Magedanz, Thomas YR 2023 SN 2644-3252 K1 5G mobile communication K1 Quality of service K1 Noise measurement K1 Anomaly detection K1 Long short term memory K1 Standards K1 Monitoring K1 Anomaly Detection K1 Open 5G Core K1 Long Short Term Memory AutoEncoder (LSTM AE) SP 106 OP 112 LK http://dx.doi.org/https://doi.org/10.1109/CSCN60443.2023.10453203 DO https://doi.org/10.1109/CSCN60443.2023.10453203 SF ELIB - SuUB Bremen
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