1. Shodhganga@INFLIBNET
  2. Delhi Technological University
  3. Applied Physics
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/470572
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-03-17T08:35:22Z-
dc.date.available2023-03-17T08:35:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/470572-
dc.description.abstractAvailable newline
dc.format.extentxxiv, 180p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleNeurocomputational and Data Mining Techniques to Decode Task Engagements through a Multimodal Approach
dc.title.alternative
dc.creator.researcherAgrawal, Swati
dc.subject.keywordPhysical Sciences
dc.subject.keywordPhysics
dc.subject.keywordPhysics Applied
dc.description.note
dc.contributor.guideVijayakumar, C. and Sharma, Rinku
dc.publisher.placeDelhi
dc.publisher.universityDelhi Technological University
dc.publisher.institutionApplied Physics
dc.date.registered2016
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions210 x 297 mm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Applied Physics

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File652.25 kBAdobe PDFView/Open
02_priliminary pages.pdf1.79 MBAdobe PDFView/Open
03_content.pdf471.09 kBAdobe PDFView/Open
04_abstract.pdf325.29 kBAdobe PDFView/Open
05_chapter 1.pdf1.65 MBAdobe PDFView/Open
06_chapter 2.pdf2.18 MBAdobe PDFView/Open
07_chapter 3.pdf4.37 MBAdobe PDFView/Open
08_chapter 4.pdf7.47 MBAdobe PDFView/Open
09_chapter 5.pdf18.97 MBAdobe PDFView/Open
10_annexure.pdf11.31 MBAdobe PDFView/Open
80_recommendation.pdf1.33 MBAdobe PDFView/Open
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