Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines

DSpace Repositorium (Manakin basiert)

Zur Kurzanzeige

dc.contributor.author Kasneci, Enkelejda
dc.date.accessioned 2023-12-04T09:27:37Z
dc.date.available 2023-12-04T09:27:37Z
dc.date.issued 2022
dc.identifier.issn 1524-9050
dc.identifier.uri http://hdl.handle.net/10900/148432
dc.language.iso en de_DE
dc.publisher Piscataway : IEEE - Inst Electrical Electronics Engineers Inc de_DE
dc.relation.uri http://dx.doi.org/10.1109/TITS.2022.3207965 de_DE
dc.subject.ddc 600 de_DE
dc.title Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines de_DE
dc.type Article de_DE
utue.quellen.id 20230925000000_00317
utue.publikation.seiten 23164-23178 de_DE
utue.personen.roh Baccour, Mohamed Hedi
utue.personen.roh Driewer, Frauke
utue.personen.roh Schaeck, Tim
utue.personen.roh Kasneci, Enkelejda
dcterms.isPartOf.ZSTitelID IEEE Transactions on Intelligent Transportation Systems de_DE
dcterms.isPartOf.ZS-Issue 12 de_DE
dcterms.isPartOf.ZS-Volume 23 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

Das Dokument erscheint in:

Zur Kurzanzeige