1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519223
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DC FieldValueLanguage
dc.coverage.spatialAn interpretable ai framework for human activity recognition in fog infrastructure
dc.date.accessioned2023-10-20T09:19:37Z-
dc.date.available2023-10-20T09:19:37Z-
dc.identifier.urihttp://hdl.handle.net/10603/519223-
dc.format.extentxvi,119p.
dc.languageEnglish
dc.relationp.108-118.
dc.rightsuniversity
dc.titleAn interpretable ai framework for human activity recognition in fog infrastructure
dc.title.alternative
dc.creator.researcherJeya Shree, G
dc.subject.keywordExplainable Artificial Intelligence
dc.subject.keywordInformation And Communication Engineering
dc.subject.keywordInternet of Things
dc.description.note
dc.contributor.guidePadmavathi,S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File27.18 kBAdobe PDFView/Open
02_prelim_pages.pdf691.46 kBAdobe PDFView/Open
03_content.pdf119.82 kBAdobe PDFView/Open
04_abstract.pdf110.18 kBAdobe PDFView/Open
05_chapter 1.pdf1.32 MBAdobe PDFView/Open
06_chapter 2.pdf1.05 MBAdobe PDFView/Open
07_chapter 3.pdf914.58 kBAdobe PDFView/Open
08_chapter 4.pdf2.02 MBAdobe PDFView/Open
09_chapter 5.pdf1.3 MBAdobe PDFView/Open
10_annexures.pdf258.65 kBAdobe PDFView/Open
80_recommendation.pdf168.92 kBAdobe PDFView/Open
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