1. Shodhganga@INFLIBNET
  2. Vellore Institute of Technology, Vellore
  3. School of Computing Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/590352
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-09-20T06:47:52Z-
dc.date.available2024-09-20T06:47:52Z-
dc.identifier.urihttp://hdl.handle.net/10603/590352-
dc.description.abstractnewline
dc.format.extent1-113
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Efficient Hyperspectral Image Classification using Amoebanet with Deep Learning Techniques
dc.title.alternative
dc.creator.researcherSrinivasan S
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideRajakumar K
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology, Vellore
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered2016
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File99.71 kBAdobe PDFView/Open
02_prelimnary pages.pdf818.89 kBAdobe PDFView/Open
03_table of contents.pdf125.85 kBAdobe PDFView/Open
04_abstract.pdf120.87 kBAdobe PDFView/Open
05_chapter 1.pdf331.21 kBAdobe PDFView/Open
06_chapter 2.pdf296.88 kBAdobe PDFView/Open
07_chapter 3.pdf561.81 kBAdobe PDFView/Open
08_chapter 4.pdf460.07 kBAdobe PDFView/Open
09_chapter 5.pdf439.09 kBAdobe PDFView/Open
10_chapter 6.pdf141.51 kBAdobe PDFView/Open
11_annexures.pdf257.95 kBAdobe PDFView/Open
80_recommendation.pdf228.41 kBAdobe PDFView/Open
Show simple item record


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: