"Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time ..."

Giovanni Trappolini et al. (2025)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2025.3568133

access: open

type: Journal Article

metadata version: 2025-05-31

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/TrappoliniPSDSDS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/TrappoliniPSDSDS25
Giovanni Trappolini, Antonio Purificato, Federico Siciliano, Luigi D'Addona, Anna Maria Spagnolo, Domenico Dato, Fabrizio Silvestri:
Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks. IEEE Access 13: 82668-82679 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.