1. Shodhganga@INFLIBNET
  2. Vels University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/564362
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-05-14T12:33:46Z-
dc.date.available2024-05-14T12:33:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/564362-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePrediciting Severity Levels in COVID 19 Infection Based on Chest CT Images Using ASO GRU NN Model
dc.title.alternative
dc.creator.researcherKalaivani J
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideArunachalam A S
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2020
dc.date.completed2023
dc.date.awarded2023
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 File57.4 kBAdobe PDFView/Open
02_prelim pages.pdf245.56 kBAdobe PDFView/Open
03_content.pdf26.82 kBAdobe PDFView/Open
04_abstract.pdf14.17 kBAdobe PDFView/Open
05_chapter 1.pdf558.76 kBAdobe PDFView/Open
06_chapter 2.pdf201.75 kBAdobe PDFView/Open
07_chapter 3.pdf993.67 kBAdobe PDFView/Open
08_chapter 4.pdf403.58 kBAdobe PDFView/Open
09_chapter 5.pdf150.47 kBAdobe PDFView/Open
10_annexures.pdf2.91 MBAdobe PDFView/Open
11_chapter 6.pdf617.03 kBAdobe PDFView/Open
12_chapter 7.pdf398.28 kBAdobe PDFView/Open
80_recommendation.pdf7.03 kBAdobe PDFView/Open
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