Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/554523
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-03-26T10:43:44Z-
dc.date.available2024-03-26T10:43:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/554523-
dc.description.abstractattached newline
dc.format.extentXIII, 127
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign of Lightweight Deep Learning Models for Disease Classification
dc.title.alternative
dc.creator.researcherGarg, Shankey
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keyworddeep learning
dc.subject.keyworddisease classification
dc.subject.keywordEngineering and Technology
dc.subject.keywordfew shot classification
dc.subject.keywordknowledge distillation
dc.subject.keywordlightweight models
dc.description.note
dc.contributor.guideSingh, Pradeep
dc.publisher.placeRaipur
dc.publisher.universityNational Institute of Technology Raipur
dc.publisher.institutionComputer Science and Engineering
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions31*20
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File245.46 kBAdobe PDFView/Open
02_preliminary page.pdf1.16 MBAdobe PDFView/Open
03_contents.pdf220.25 kBAdobe PDFView/Open
04_abstract.pdf200.2 kBAdobe PDFView/Open
05_chapter 1.pdf539.34 kBAdobe PDFView/Open
06_chapter 2.pdf952.42 kBAdobe PDFView/Open
07_chapter 3.pdf1.44 MBAdobe PDFView/Open
08_chapter 4.pdf920.43 kBAdobe PDFView/Open
09_chapter 5.pdf723.99 kBAdobe PDFView/Open
10_chapter 6.pdf1.16 MBAdobe PDFView/Open
11_chapter 7.pdf228.49 kBAdobe PDFView/Open
12_annexures.pdf266.29 kBAdobe PDFView/Open
80_recommendation.pdf228.49 kBAdobe PDFView/Open


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