1. Shodhganga@INFLIBNET
  2. Desh Bhagat University
  3. Department of Engineering and Technology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/608611
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-12-20T11:00:08Z-
dc.date.available2024-12-20T11:00:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/608611-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeveloped detection system for covid 19 by using deep learning model
dc.title.alternative
dc.creator.researcherShaheen, Anjuman
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guide
dc.publisher.placeMandi Gobindgarh
dc.publisher.universityDesh Bhagat University
dc.publisher.institutionDepartment of Engineering and Technology
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Engineering and Technology

Files in This Item:
File Description SizeFormat 
01-tittle.pdfAttached File223.64 kBAdobe PDFView/Open
02-prelim pages.pdf1.08 MBAdobe PDFView/Open
03-content pages.pdf433.62 kBAdobe PDFView/Open
04-abstract.pdf187.04 kBAdobe PDFView/Open
05-chapter 1.pdf906.11 kBAdobe PDFView/Open
06-chapter 2.pdf634.55 kBAdobe PDFView/Open
07-chapter 3.pdf718.48 kBAdobe PDFView/Open
08-chapter 4.pdf358.95 kBAdobe PDFView/Open
09-chapter 5.pdf849.03 kBAdobe PDFView/Open
10-annexures.pdf4.2 MBAdobe PDFView/Open
80_recommendation.pdf504.58 kBAdobe PDFView/Open
chapter 6.pdf282.58 kBAdobe PDFView/Open
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