1. Shodhganga@INFLIBNET
  2. Dr. M.G.R. Educational and Research Institute
  3. Department of Computer Applications
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/479244
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-04-25T10:16:06Z-
dc.date.available2023-04-25T10:16:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/479244-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleClassification of cardiac arrhythmia disease prediction and detection in ecg signals using enhanced msvm and rnn models
dc.title.alternative
dc.creator.researcherB Bavani
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideS Nirmala Sugirtha Rajini
dc.publisher.placeChennai
dc.publisher.universityDr. M.G.R. Educational and Research Institute
dc.publisher.institutionDepartment of Computer Applications
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Applications

Files in This Item:
File Description SizeFormat 
10 - chapter 6.pdfAttached File1.01 MBAdobe PDFView/Open
11-annexures.pdf525.06 kBAdobe PDFView/Open
1-title.pdf286.31 kBAdobe PDFView/Open
2-preliminary pages.pdf1.19 MBAdobe PDFView/Open
3-content.pdf182.93 kBAdobe PDFView/Open
4-abstract.pdf175.3 kBAdobe PDFView/Open
5 - chapter 1.pdf696.87 kBAdobe PDFView/Open
6 - chapter 2.pdf386.88 kBAdobe PDFView/Open
7 - chapter 3.pdf542.49 kBAdobe PDFView/Open
80_recommendation.pdf1.29 MBAdobe PDFView/Open
8 -chapter 4.pdf503.99 kBAdobe PDFView/Open
9 - chapter 5.pdf476.5 kBAdobe PDFView/Open
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