Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/366624
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-03-04T10:28:30Z-
dc.date.available2022-03-04T10:28:30Z-
dc.identifier.urihttp://hdl.handle.net/10603/366624-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleInvariant Features extraction technique with representation learning in deep neural networks to improve classification performance
dc.title.alternative
dc.creator.researcherGeete, Kanu
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guidePandey, Manish
dc.publisher.placeBhopal
dc.publisher.universityMaulana Azad National Institute of Technology Bhopal
dc.publisher.institutionComputer science and engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer science and engineering

Files in This Item:
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10.chapter 7.pdfAttached File3.11 MBAdobe PDFView/Open
11.chapter 8.pdf4.88 MBAdobe PDFView/Open
12.references.pdf21.78 MBAdobe PDFView/Open
1.title page.pdf653.94 kBAdobe PDFView/Open
2.certificate.pdf670.67 kBAdobe PDFView/Open
3.priliminary pages.pdf5.35 MBAdobe PDFView/Open
4.chapter 1.pdf10.95 MBAdobe PDFView/Open
5.chapter 2.pdf25.15 MBAdobe PDFView/Open
6.chapter 3.pdf2.34 MBAdobe PDFView/Open
7.chapter 4.pdf12.62 MBAdobe PDFView/Open
80_recommendation.pdf5.53 MBAdobe PDFView/Open
8.chapter 5.pdf19.99 MBAdobe PDFView/Open
9.chapter 6.pdf4.82 MBAdobe PDFView/Open


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