A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems

  1. Velasquez, D.
  2. Perez, E.
  3. Oregui, X.
  4. Artetxe, A.
  5. Manteca, J.
  6. Mansilla, J.E.
  7. Toro, M.
  8. Maiza, M.
  9. Sierra, B.
Journal:
IEEE Access

ISSN: 2169-3536

Year of publication: 2022

Volume: 10

Pages: 72024-72036

Type: Article

DOI: 10.1109/ACCESS.2022.3188102 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus