Using ensemble learning for anomaly detection in cyber–physical systems

dc.contributor.author	Jeffrey, N.
dc.contributor.author	Tan, Q.
dc.contributor.author	Villar Flecha, José Ramón
dc.date.accessioned	2024-11-07T07:25:31Z
dc.date.available	2024-11-07T07:25:31Z
dc.date.issued	2024
dc.identifier.citation	Electronics (Switzerland), 13(7), (2024); doi:10.3390/electronics13071391
dc.identifier.issn	2079-9292
dc.identifier.uri	https://hdl.handle.net/10651/75552
dc.description.sponsorship	Spanish Ministry of Economics and Industry
dc.language.iso	eng
dc.relation.ispartof	Electronics (Switzerland)
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190102387&doi=10.3390%2felectronics13071391&partnerID=40&md5=db853b40f3d36cf0e431dd35da7edc68
dc.title	Using ensemble learning for anomaly detection in cyber–physical systems
dc.type	journal article
dc.identifier.doi	10.3390/electronics13071391
dc.relation.publisherversion	http://dx.doi.org/10.3390/electronics13071391

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.