Mental workload detection and assessment through statistical features extraction and optimization using GEL-RF method for EEG signals using N-back dataset

dc.contributor.authorManzoor, Waleed
dc.contributor.authorNaseer, Noman
dc.contributor.authorNizami, Imran Fareed
dc.contributor.authorNazeer, Syed Hammad
dc.contributor.authorNeamah, Husam A.
dc.date.accessioned2025-08-12T13:45:15Z
dc.date.available2025-08-12T13:45:15Z
dc.date.issued2025
dc.date.oa2025-08-21
dc.date.pasync2025-08-21T23:11:38Z
dc.date.updated2025-08-12T13:45:15Z
dc.description.correctorKTK
dc.identifier.citationIEEE Access. -[Epub ahead of print] 13 (2025), p. 1-21. -IEEE Access. - 2169-3536. - 2169-3536
dc.identifier.doihttp://dx.doi.org/10.1109/ACCESS.2025.3596517
dc.identifier.issn2169-3536
dc.identifier.opachttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM131893
dc.identifier.urihttps://hdl.handle.net/2437/396797
dc.identifier.urlhttps://ieeexplore.ieee.org/document/11114911/
dc.languageeng
dc.rights.accessopen acess journal
dc.rights.ownerszerzők
dc.subject.mabMűszaki tudományok
dc.subject.mabInformatikai tudományok
dc.titleMental workload detection and assessment through statistical features extraction and optimization using GEL-RF method for EEG signals using N-back dataset
dc.typefolyóiratcikk
dc.typeidegen nyelvű folyóiratközlemény külföldi lapban
Fájlok