Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/378871
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2022-05-09T05:04:43Z-
dc.date.available2022-05-09T05:04:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/378871-
dc.format.extent-
dc.languageEnglish
dc.relationNo of References 68
dc.rightsuniversity
dc.titleTo study and development of an algorithm to identify pattern of major nocturnal insects for early detection and classification using computer vision
dc.title.alternative
dc.creator.researcherPatel, Deven J.
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.noteReferences p. 83-90, Appendix p. 96-101
dc.contributor.guideBhatt, Nirav
dc.publisher.placeRajkot
dc.publisher.universityRK University
dc.publisher.institutionFaculty of Technology
dc.date.registered2017
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Technology

Files in This Item:
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01_cover page.pdfAttached File16.28 kBAdobe PDFView/Open
02_certificate.pdf269.81 kBAdobe PDFView/Open
03_declaration.pdf323.05 kBAdobe PDFView/Open
04_acknowledgement.pdf214.22 kBAdobe PDFView/Open
05_table of contents.pdf567.29 kBAdobe PDFView/Open
06_list of tables.pdf212.35 kBAdobe PDFView/Open
07_list of figures.pdf216.7 kBAdobe PDFView/Open
08_ list of abbreviations.pdf213.35 kBAdobe PDFView/Open
09_abstract.pdf218.38 kBAdobe PDFView/Open
10_graphical abstract.pdf278.96 kBAdobe PDFView/Open
11_chapter 1.pdf967.46 kBAdobe PDFView/Open
12_chapter 2.pdf1.06 MBAdobe PDFView/Open
13_chapter 3.pdf871.3 kBAdobe PDFView/Open
14_chapter 4.pdf2.17 MBAdobe PDFView/Open
15_chapter 5.pdf1.39 MBAdobe PDFView/Open
16_chapter 6.pdf864.17 kBAdobe PDFView/Open
17_list of publication.pdf1.12 MBAdobe PDFView/Open
18_references.pdf883.13 kBAdobe PDFView/Open
19_appendix.pdf2.23 MBAdobe PDFView/Open
80_recommendation.pdf882.75 kBAdobe PDFView/Open


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