Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/598278
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2024-10-28T09:56:49Z-
dc.date.available2024-10-28T09:56:49Z-
dc.identifier.urihttp://hdl.handle.net/10603/598278-
dc.description.abstractnewline newline
dc.format.extentXxv, 175p.
dc.languageEnglish
dc.relation95 nos.
dc.rightsuniversity
dc.titleAn Effective Plant Leaf Disease Identification Using FDCHL Enhancement and A Modified Extreme Learning Machine
dc.title.alternative-
dc.creator.researcherShoby Sunny
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.noteBibliography p.176-186
dc.contributor.guideIndra Gandhi, M.P
dc.publisher.placeKodaikanal
dc.publisher.universityMother Teresa Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2015
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensionsA4
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File356.64 kBAdobe PDFView/Open
02_prelim pages.pdf815.24 kBAdobe PDFView/Open
03_contents.pdf597.21 kBAdobe PDFView/Open
04_abstract.pdf790.42 kBAdobe PDFView/Open
05_chapter 1.pdf687 kBAdobe PDFView/Open
06_chapter 2.pdf170.79 kBAdobe PDFView/Open
07_chapter 3.pdf1.06 MBAdobe PDFView/Open
08_chapter 4.pdf1.04 MBAdobe PDFView/Open
09_chapter 5.pdf665.15 kBAdobe PDFView/Open
10_chapter 6.pdf821.9 kBAdobe PDFView/Open
11_chapter 7.pdf16.28 kBAdobe PDFView/Open
12_annexures.pdf6.05 MBAdobe PDFView/Open
80_recommendation.pdf604.13 kBAdobe PDFView/Open


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