Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22026
DC FieldValueLanguage
dc.contributor.authorGjoreski, Martinen_US
dc.contributor.authorMahesh, Bhargavien_US
dc.contributor.authorKolenik, Tineen_US
dc.contributor.authorUwe-Garbas, Jensen_US
dc.contributor.authorSeuss, Dominiken_US
dc.contributor.authorGjoreski, Hristijanen_US
dc.contributor.authorLustrek, Mitjaen_US
dc.contributor.authorGams, Matjazen_US
dc.contributor.authorPejovic, Veljkoen_US
dc.date.accessioned2022-08-09T09:17:56Z-
dc.date.available2022-08-09T09:17:56Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22026-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE Accessen_US
dc.titleCognitive Load Monitoring With Wearables–Lessons Learned From a Machine Learning Challengeen_US
dc.identifier.doi10.1109/access.2021.3093216-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/6287639/9312710/09466833.pdf?arnumber=9466833-
dc.identifier.volume9-
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Journal Articles
Show simple item record

Page view(s)

53
checked on May 3, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.