1. Shodhganga@INFLIBNET
  2. GITAM University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/545215
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-02-13T13:20:58Z-
dc.date.available2024-02-13T13:20:58Z-
dc.identifier.urihttp://hdl.handle.net/10603/545215-
dc.description.abstractFile Attached
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine Learning based approach for fruit image classification and grading in post harvesting using multiclass support Vector Machine
dc.title.alternative
dc.creator.researcherFatima, Shameem
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSeshashayee, M
dc.publisher.placeVisakhapatnam
dc.publisher.universityGITAM University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File140.99 kBAdobe PDFView/Open
02_preli.pages.pdf1.2 MBAdobe PDFView/Open
03_contents.pdf437.2 kBAdobe PDFView/Open
04_abstract.pdf6.78 kBAdobe PDFView/Open
05_chapter1.pdf4.24 MBAdobe PDFView/Open
06_chapter2.pdf4.41 MBAdobe PDFView/Open
07_chapter3.pdf1.24 MBAdobe PDFView/Open
08_chapter4.pdf3.56 MBAdobe PDFView/Open
09_chapter5.pdf777.55 kBAdobe PDFView/Open
10_chapter6.pdf2.8 MBAdobe PDFView/Open
11_ chapter 7.pdf702.05 kBAdobe PDFView/Open
12_annexures.pdf16.13 MBAdobe PDFView/Open
80_recommendation.pdf967.28 kBAdobe PDFView/Open
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