2. Repository of UKIM
  3. Faculty of Computer Science and Engineering
  4. Faculty of Computer Science and Engineering: Conference papers

Repository of UKIM


Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17183
DC FieldValueLanguage
dc.contributor.authorGushev, Marjanen_US
dc.contributor.authorAckovska, Nevenaen_US
dc.contributor.authorZdraveski, Vladimiren_US
dc.contributor.authorStankov, Emilen_US
dc.contributor.authorJovanov, Mileen_US
dc.contributor.authorDinev, Martinen_US
dc.contributor.authorSpasov, Dejanen_US
dc.contributor.authorGui, Xiaoyanen_US
dc.contributor.authorZhang, Yanlongen_US
dc.contributor.authorGeng, Lien_US
dc.contributor.authorZhou, Xiaochuanen_US
dc.date.accessioned2022-03-29T20:09:04Z-
dc.date.available2022-03-29T20:09:04Z-
dc.date.issued2021-11-23-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/17183-
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleReview of Drowsiness Detection Machine-Learning Methods Applicable for Non-Invasive Brain-Computer Interfacesen_US
dc.typeProceeding articleen_US
dc.relation.conference2021 29th Telecommunications Forum (TELFOR)en_US
dc.identifier.doi10.1109/telfor52709.2021.9653239-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/9653182/9653156/09653239.pdf?arnumber=9653239-
dc.identifier.fpage1-
dc.identifier.lpage4-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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