"5G-enabled Temperature Sensor Fusion & Federated Learning for optimal ..."

Alexios Karadimos et al. (2025)

> Home

Details and statistics

DOI: 10.1109/CODIT66093.2025.11321787

access: closed

type: Conference or Workshop Paper

metadata version: 2026-03-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/codit/KaradimosSSM25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/codit/KaradimosSSM25
Alexios Karadimos, Christos Stefanatos, Evanthia Sismanoglou, Vaggelis Marinakis:
5G-enabled Temperature Sensor Fusion & Federated Learning for optimal operation of EV charging points and fault prevention. CoDIT 2025: 2605-2610

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.