Anomaly Detection using Unsupervised Learning in LTE Mobile Network-Reference-Cited by-同舟云学术

Anomaly Detection using Unsupervised Learning in LTE Mobile Network

Published:2021-12-05 Issue: Volume: Page:
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Container-title:2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS)
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Author:

Nour Mahmoud¹,Awad Mina¹,Kamel Mina¹,Essa Mostafa²,Abdelbaki Nashwa¹

Affiliation:

1. Nile University,ITCS,Cairo,Egypt

2. Vodafone,Cairo,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9693993/9694107/09694214.pdf?arnumber=9694214

Reference16 articles.

1. Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

2. Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

3. Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE

4. Policy-based reinforcement learning for time series anomaly detection

5. 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification (Release 8),0

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