1. Shodhganga@INFLIBNET
  2. Vishwakarma University
  3. Computer Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/473883
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-03-31T10:28:49Z-
dc.date.available2023-03-31T10:28:49Z-
dc.identifier.urihttp://hdl.handle.net/10603/473883-
dc.format.extentp. 120
dc.languageEnglish
dc.relation70
dc.rightsuniversity
dc.titleDesign and development of optimized rider SSA based Deep LSTM for classification of learner s affective states in e learning
dc.title.alternative
dc.creator.researcherRathi, Snehal Rahul
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordLearning
dc.subject.keywordMachine learning
dc.description.noteBibliography p. 97 - 102
dc.contributor.guideDeshpande, Yogesh
dc.publisher.placePune
dc.publisher.universityVishwakarma University
dc.publisher.institutionComputer Engineering
dc.date.registered2019
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File57.77 kBAdobe PDFView/Open
02_prelim pages.pdf715.72 kBAdobe PDFView/Open
03_content.pdf246.54 kBAdobe PDFView/Open
04_abstract.pdf102.82 kBAdobe PDFView/Open
05_chapter 1.pdf213.1 kBAdobe PDFView/Open
06_chapter 2.pdf308.45 kBAdobe PDFView/Open
07_chapter 3.pdf924.1 kBAdobe PDFView/Open
08_chapter 4.pdf454.52 kBAdobe PDFView/Open
09_chapter 5.pdf420.12 kBAdobe PDFView/Open
10_annexures.pdf187.09 kBAdobe PDFView/Open
80_recommendation.pdf542.16 kBAdobe PDFView/Open
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