A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry
- DOI
- 10.1109/access.2021.3070659
- Published
- 2021
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2021.3070659,
title = {A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry},
author = {Kisan Sarda and Antonio Acernese and Vittorio Nole and Leonardo Manfredi and Luca Greco and Luigi Glielmo and Carmen Del Vecchio},
year = {2021},
journal = {IEEE Access},
doi = {10.1109/access.2021.3070659},
url = {https://doi.org/10.1109/access.2021.3070659}
}RIS
TY - JOUR TI - A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry AU - Kisan Sarda AU - Antonio Acernese AU - Vittorio Nole AU - Leonardo Manfredi AU - Luca Greco AU - Luigi Glielmo AU - Carmen Del Vecchio PY - 2021 JO - IEEE Access DO - 10.1109/access.2021.3070659 UR - https://doi.org/10.1109/access.2021.3070659 ER -
APA
Sarda, K., Acernese, A., Nole, V., Manfredi, L., Greco, L., Glielmo, L., & Vecchio, C. D. (2021). A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry. IEEE Access. https://doi.org/10.1109/access.2021.3070659
Source records
- doaj · retrieved 2026-09-26T02:21:22.216Z