"Energy-Aware and Explainable Automated Machine Learning for Anomaly ..."

Hammam Algamdi et al. (2025)

> Home

Details and statistics

DOI: 10.1109/JIOT.2025.3611815

access: closed

type: Journal Article

metadata version: 2025-11-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/iotj/AlgamdiASJ25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/iotj/AlgamdiASJ25
Hammam Algamdi, Gagangeet Singh Aujla, Amritpal Singh, Anish Jindal:
Energy-Aware and Explainable Automated Machine Learning for Anomaly Detection in Healthcare IoT. IEEE Internet Things J. 12(22): 46215-46224 (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.