Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/401492
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dc.coverage.spatial
dc.date.accessioned2022-08-26T04:28:34Z-
dc.date.available2022-08-26T04:28:34Z-
dc.identifier.urihttp://hdl.handle.net/10603/401492-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of hybrid methods for rainfall classification using ant colony optimization and neural networks
dc.title.alternative
dc.creator.researcherK Varada Rajkumar
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideK Subrahmanyam
dc.publisher.placeVaddeswaram
dc.publisher.universityKoneru Lakshmaiah Education Foundation
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2015
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File232.03 kBAdobe PDFView/Open
02_declaration.pdf74.82 kBAdobe PDFView/Open
03_certificate.pdf194 kBAdobe PDFView/Open
04_acknowledgement.pdf476 kBAdobe PDFView/Open
05_abstract.pdf381.73 kBAdobe PDFView/Open
06_table of contents.pdf410.45 kBAdobe PDFView/Open
07_list of figures.pdf273.68 kBAdobe PDFView/Open
08_list of tables.pdf126.87 kBAdobe PDFView/Open
09_abbrevations.pdf345.1 kBAdobe PDFView/Open
10_chapter_1.pdf6.97 MBAdobe PDFView/Open
11_chapter_2.pdf9.87 MBAdobe PDFView/Open
12_chapter_3.pdf6.35 MBAdobe PDFView/Open
13_chapter_4.pdf4.62 MBAdobe PDFView/Open
14_chapter_5.pdf4.23 MBAdobe PDFView/Open
15_chapter_6.pdf662.56 kBAdobe PDFView/Open
80_recommendation.pdf32.9 MBAdobe PDFView/Open


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