1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Mandi
  3. School of Computing and Electrical Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/445361
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-13T10:01:24Z-
dc.date.available2023-01-13T10:01:24Z-
dc.identifier.urihttp://hdl.handle.net/10603/445361-
dc.description.abstractnewline
dc.format.extentxv, 183
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleEnsemble and deep learning based approaches for microscopy image analysis
dc.title.alternative
dc.creator.researcherGupta, Vibha
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideBhavsar, Arnav
dc.publisher.placeMandi
dc.publisher.universityIndian Institute of Technology Mandi
dc.publisher.institutionSchool of Computing and Electrical Engineering
dc.date.registered2013
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions35
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing and Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File65.24 kBAdobe PDFView/Open
02_prelim pages.pdf105.4 kBAdobe PDFView/Open
03_content.pdf74.67 kBAdobe PDFView/Open
04_abstracat.pdf50.35 kBAdobe PDFView/Open
05_chapter 1.pdf72.89 kBAdobe PDFView/Open
06_chapter 2.pdf1.3 MBAdobe PDFView/Open
07_chapter 3.pdf875.63 kBAdobe PDFView/Open
08_chapter 4.pdf430.72 kBAdobe PDFView/Open
09_chapter 5.pdf373 kBAdobe PDFView/Open
10_chapter 6.pdf4.5 MBAdobe PDFView/Open
11_chapter 7.pdf334.44 kBAdobe PDFView/Open
12_annexueres.pdf109.62 kBAdobe PDFView/Open
80_recommendation.pdf98.9 kBAdobe PDFView/Open
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