Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/533069
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dc.coverage.spatial
dc.date.accessioned2023-12-26T09:42:22Z-
dc.date.available2023-12-26T09:42:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/533069-
dc.description.abstractattached newline
dc.format.extentXXXIII, 219
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleImproving Automated Analysis and Learning of EEG Signals for Brain Disorders Detection using Fourier Bessel Series Expansion based Empirical Wavelet Transform
dc.title.alternative
dc.creator.researcherNarayandas, Anuragi ArtI
dc.subject.keywordBrain Disorders Detection
dc.subject.keywordclassifier
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEEG Signal
dc.subject.keywordEngineering and Technology
dc.subject.keywordFBSE EWT wavelet
dc.description.note
dc.contributor.guideSisodia, Dilip Singh and Pachori, Ram Bilas
dc.publisher.placeRaipur
dc.publisher.universityNational Institute of Technology Raipur
dc.publisher.institutionComputer Science and Engineering
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions31 cm * 20 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File438.47 kBAdobe PDFView/Open
02_preliminary page.pdf1.28 MBAdobe PDFView/Open
03_content.pdf79.93 kBAdobe PDFView/Open
04_abstract.pdf53.23 kBAdobe PDFView/Open
05_chapter 1.pdf1.06 MBAdobe PDFView/Open
06_chapter 2.pdf145.94 kBAdobe PDFView/Open
07_chapter 3.pdf920.23 kBAdobe PDFView/Open
08_chapter 4.pdf2.85 MBAdobe PDFView/Open
09_chapter 5.pdf9.32 MBAdobe PDFView/Open
10_chapter 6.pdf1.96 MBAdobe PDFView/Open
11_annexures.pdf202.75 kBAdobe PDFView/Open
80_recommendation.pdf122.17 kBAdobe PDFView/Open


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