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Human acoustic events detection as anomalies in industrial environments using shallow unsupervised techniques

dc.contributor.authorFáñez Kertelj, Mirko 
dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.contributor.authorSedano, J.
dc.contributor.authorCarús Candas, J. L.
dc.contributor.authorRamírez Ávila, J.
dc.date.accessioned2025-04-30T09:21:05Z
dc.date.available2025-04-30T09:21:05Z
dc.date.issued2024
dc.identifier.isbn978-303175012-0
dc.identifier.issn2367-3370
dc.identifier.urihttps://hdl.handle.net/10651/78783
dc.description.sponsorshipThe research has been funded by the Spanish Ministry of Economics and Industry, grant PID2020-112726RB-I00/PID2023-146257OB-I00, and by the Ministry of Science and Innovation under CERVERA Excellence Network project CER-20231019 (CICERO) and Missions Science and Innovation project MIG-20211008 (INMERBOT). Also, by Principado de Asturias, grant SV-PA-21-AYUD/2021/50994.
dc.format.extentp. 98-107
dc.language.isoeng
dc.relation.ispartofLecture Notes in Networks and Systems
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85210151262&doi=10.1007%2f978-3-031-75013-7_10&partnerID=40&md5=81736004230355aef92b9059bfa6f214
dc.titleHuman acoustic events detection as anomalies in industrial environments using shallow unsupervised techniques
dc.typeconference output
dc.identifier.doi10.1007/978-3-031-75013-7_10
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-031-75013-7_10


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