Deep learning methods for Motor Imagery EEG Signal Classification

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dc.contributor.authorTitkanlou, Maryam Khoshkhooy
dc.contributor.editorRendl, Jan
dc.date.accessioned2024-06-12T19:33:30Z
dc.date.available2024-06-12T19:33:30Z
dc.date.issued2024
dc.description.sponsorshipThis work was supported by the university specific research project SGS-2022-016 Advanced Methods of Data Processing and Analysis (project SGS-2022 016).en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationRENDL, Jan (ed.). Studentská vědecká konference: magisterské a doktorské studijní programy, 23.5. 2024, Plzeň. Plzeň: Západočeská univerzita v Plzni, 2024, s. 39-40.cs
dc.identifier.isbn978-80-261-1228-0
dc.identifier.urihttp://hdl.handle.net/11025/55614
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjecthluboké učenícs
dc.subjectEEG signalcs
dc.subjectmotorcs
dc.subject.translateddeep learningen
dc.subject.translatedEEG signalen
dc.subject.translatedmotoren
dc.titleDeep learning methods for Motor Imagery EEG Signal Classificationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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Studentská vědecká konference 2024 - magisterské a doktorské studijní programy
Studentská vědecká konference 2024 - magisterské a doktorské studijní programy