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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 | This research has been funded by the Spanish Ministry of Economics and Industry, grant PID2020-112726RB-I00; the Spanish Research Agency, grant PID2023-146257OB-I00; the Missions Science and Innovation project MIG-20211008 (INMERBOT); by the Principado de Asturias, grant SV- PA-21-AYUD/2021/50994; and by the Council of Gijón through the University Institute of Industrial Technology of Asturias, grants SV-21-GIJON-1-19, SV-22-GIJON-1-19, SV-22-GIJON-1-22, and SV-23- GIJON-1-09. Finally, this research has also been funded by Fundación Universidad de Oviedo via grants FUO-23-008 and FUO-22-450. | |
dc.language.iso | eng | |
dc.relation.ispartof | Electronics (Switzerland) | |
dc.rights | © 2024 by the authors. | |
dc.rights | CC Reconocimiento 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
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 | |
dc.rights.accessRights | open access |
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