1. Shodhganga@INFLIBNET
  2. GLA University
  3. Department of Biotechnology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/534844
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-12-29T10:33:38Z-
dc.date.available2023-12-29T10:33:38Z-
dc.identifier.urihttp://hdl.handle.net/10603/534844-
dc.description.abstractnewline
dc.format.extent159p.
dc.languageEnglish
dc.relation
dc.rightsself
dc.titleAssessment of phycological Studies in Mathura region using deep learning based approaches
dc.title.alternative
dc.creator.researcherGaur, Ashish
dc.subject.keywordBiotechnology and Applied Microbiology
dc.subject.keywordLife Sciences
dc.subject.keywordMicrobiology
dc.description.note
dc.contributor.guidePant, Gaurav and Jalal, Anand Singh
dc.publisher.placeMathura
dc.publisher.universityGLA University
dc.publisher.institutionDepartment of Biotechnology
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Biotechnology

Files in This Item:
File Description SizeFormat 
01. title.pdfAttached File36.94 kBAdobe PDFView/Open
02.prelim page.pdf1.96 MBAdobe PDFView/Open
03.contents.pdf298.84 kBAdobe PDFView/Open
04. abstract.pdf72.94 kBAdobe PDFView/Open
05. chapter 1.pdf245.64 kBAdobe PDFView/Open
06.chapter 2.pdf128.07 kBAdobe PDFView/Open
07.chapter 3.pdf1.06 MBAdobe PDFView/Open
08. chapter 4.pdf2.42 MBAdobe PDFView/Open
09. chapter 5.pdf144.1 kBAdobe PDFView/Open
10. chapter 6.pdf89.38 kBAdobe PDFView/Open
11.annexure.pdf9.27 MBAdobe PDFView/Open
80_recommendation.pdf125.89 kBAdobe PDFView/Open
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