dc.contributor.author | Jeffrey, N. | |
dc.contributor.author | Tan, Q. | |
dc.contributor.author | Villar Flecha, José Ramón | |
dc.date.accessioned | 2024-02-05T10:49:00Z | |
dc.date.available | 2024-02-05T10:49:00Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Neurocomputing, 568 (2024); doi:10.1016/j.neucom.2023.127068 | |
dc.identifier.issn | 0925-2312 | |
dc.identifier.uri | https://hdl.handle.net/10651/71154 | |
dc.description.sponsorship | This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R, PID2020-112726RB-I00 and the State Research Agency (AEI, Spain) under grant
agreement No RED2018-102312-T (IA-Biomed). | spa |
dc.language.iso | eng | spa |
dc.relation.ispartof | Neurocomputing. 568 | spa |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights | © 2023 The Author(s). Published by Elsevier B.V. | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | A hybrid methodology for anomaly detection in Cyber–Physical Systems | spa |
dc.type | journal article | spa |
dc.identifier.doi | 10.1016/j.neucom.2023.127068 | |
dc.local.notes | OA ATUO23 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84804-R/ES/INTELIGENCIA COMPUTACIONAL EN SITUACIONES DE ALTA INCERTIDUMBRE. APLICACIONES A TECNOLOGIAS ECOEFICIENTES/ | spa |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-112726RB-I00/ES/INTELIGENCIA COMPUTACIONAL PARA LA MITIGACION DE EMISIONES: NUEVAS METODOLOGIAS DE APRENDIZAJE CON DATOS INCOMPLETOS/ | spa |
dc.relation.projectID | RED2018-102312-T | spa |
dc.relation.publisherversion | https://doi.org/10.1016/j.neucom.2023.127068 | spa |
dc.rights.accessRights | open access | spa |
dc.type.hasVersion | VoR | spa |