Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/464482
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dc.coverage.spatial
dc.date.accessioned2023-02-20T09:35:22Z-
dc.date.available2023-02-20T09:35:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/464482-
dc.description.abstract
dc.format.extent140
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine Learning Approaches For Electroencephalogram EEG Based Brain Computer Interface BCI Applications In Cognitive State Classification
dc.title.alternative
dc.creator.researcherMandal, Sunandan
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordElectroencephalogram
dc.description.note
dc.contributor.guideThakur, Kavita and Singh, Bikesh Kumar
dc.publisher.placeRaipur
dc.publisher.universityPt. Ravishankar Shukla University
dc.publisher.institutionSchool of studies in Electronics
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of studies in Electronics

Files in This Item:
File Description SizeFormat 
01 title.pdfAttached File86.46 kBAdobe PDFView/Open
02 prelim pages.pdf2 MBAdobe PDFView/Open
03 contents.pdf171.51 kBAdobe PDFView/Open
04 abstract.pdf83.13 kBAdobe PDFView/Open
05 chapter_1.pdf682.4 kBAdobe PDFView/Open
06 chapter_2.pdf290.11 kBAdobe PDFView/Open
07 chapter_3.pdf452.82 kBAdobe PDFView/Open
08 chapter_4.pdf410.16 kBAdobe PDFView/Open
09 chapter_5.pdf942.8 kBAdobe PDFView/Open
10 chapter_6.pdf519.6 kBAdobe PDFView/Open
11 chapter_7.pdf297.03 kBAdobe PDFView/Open
12 chapter_8.pdf268.19 kBAdobe PDFView/Open
13 annexures.pdf476.24 kBAdobe PDFView/Open
80_recommendation.pdf355.45 kBAdobe PDFView/Open


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