Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/485857
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dc.coverage.spatial
dc.date.accessioned2023-05-26T08:57:08Z-
dc.date.available2023-05-26T08:57:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/485857-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA framework for classifying myocardial infarction using enhanced deep neural network technique
dc.title.alternative
dc.creator.researcherManimekalai K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.description.note
dc.contributor.guideKavitha A
dc.publisher.placeCoimbatore
dc.publisher.universityBharathiar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2017
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File88.24 kBAdobe PDFView/Open
02_prelim pages.pdf10.2 MBAdobe PDFView/Open
03_content.pdf114.52 kBAdobe PDFView/Open
04_abstract.pdf30.53 kBAdobe PDFView/Open
05_chapter 1.pdf383.62 kBAdobe PDFView/Open
06_chapter 2.pdf10.72 MBAdobe PDFView/Open
07_chapter 3.pdf749.84 kBAdobe PDFView/Open
08_chapter 4.pdf540.47 kBAdobe PDFView/Open
09_chapter 5.pdf513.37 kBAdobe PDFView/Open
10_chapter 6.pdf790.05 kBAdobe PDFView/Open
11_chapter 7.pdf438.4 kBAdobe PDFView/Open
12_chapter 8.pdf125.96 kBAdobe PDFView/Open
13_annexures.pdf852.62 kBAdobe PDFView/Open
80_recommendation.pdf652.99 kBAdobe PDFView/Open


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