Cite
HARVARD Citation
Zayas‐Gato, F. et al. (2022). A hybrid one‐class approach for detecting anomalies in industrial systems. Expert systems. 39 (9), p. n/a. [Online].
This is an interim version of our Electronic Legal Deposit Catalogue-eJournals and eBooks while we continue to recover from a cyber-attack.
Zayas‐Gato, F. et al. (2022). A hybrid one‐class approach for detecting anomalies in industrial systems. Expert systems. 39 (9), p. n/a. [Online].