Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/524160
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-11-08T07:19:52Z-
dc.date.available2023-11-08T07:19:52Z-
dc.identifier.urihttp://hdl.handle.net/10603/524160-
dc.description.abstractAbstract Included newline
dc.format.extentxvi, 209p
dc.languageEnglish
dc.relation103
dc.rightsuniversity
dc.titleCyclone Intensity Prediction of Satellite Cloud Images Using Hypergraph Based Artificial Intelligence Techniques
dc.title.alternative
dc.creator.researcherRajesh K
dc.subject.keywordAtmospheric science
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordCyclone Intensity prediction
dc.subject.keywordEngineering and Technology
dc.description.noteReferences 193-202p Appendix 203-209p
dc.contributor.guideRamaswamy V
dc.publisher.placeThanjavur
dc.publisher.universitySASTRA University
dc.publisher.institutionSchool of Computing
dc.date.registered2015
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions28 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing

Files in This Item:
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01_title.pdfAttached File7.04 kBAdobe PDFView/Open
02_prelim.pdf297.29 kBAdobe PDFView/Open
03_the table of contents.pdf57.27 kBAdobe PDFView/Open
04_abstract.pdf22.41 kBAdobe PDFView/Open
05_chapter_01.pdf211.4 kBAdobe PDFView/Open
06_chapter_02.pdf240.8 kBAdobe PDFView/Open
07_chapter_03.pdf532.54 kBAdobe PDFView/Open
08_chapter_04.pdf603.91 kBAdobe PDFView/Open
09_chapter_05.pdf1.09 MBAdobe PDFView/Open
10_chapter_06.pdf1.78 MBAdobe PDFView/Open
11_annexure.pdf355.56 kBAdobe PDFView/Open
80_recommendation.pdf16.08 kBAdobe PDFView/Open


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