Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/586036
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dc.coverage.spatial
dc.date.accessioned2024-08-28T11:51:55Z-
dc.date.available2024-08-28T11:51:55Z-
dc.identifier.urihttp://hdl.handle.net/10603/586036-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleFuzzy Logic Based Congestion Control In Hban For Smart Ehealth Application In Iot
dc.title.alternativeSmart Ehealth Application In Iot Fuzzy Logic Based Congestion Control
dc.creator.researcherGoyal Rohit
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordCONGESTION CONTROL IN HBAN
dc.subject.keywordEngineering and Technology
dc.subject.keywordFUZZY LOGIC
dc.description.note
dc.contributor.guideKandari Sonika Co-Ranjan Rakesh
dc.publisher.placeDehradun
dc.publisher.universityHimgiri Zee University
dc.publisher.institutionSchool of Science and Technology
dc.date.registered2018
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Science and Technology

Files in This Item:
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01_title.pdfAttached File472.04 kBAdobe PDFView/Open
02_prelim. pages.pdf878.48 kBAdobe PDFView/Open
03_content.pdf972.22 kBAdobe PDFView/Open
04_abstract.pdf349.97 kBAdobe PDFView/Open
05_chapter 1.pdf1.68 MBAdobe PDFView/Open
06_chapter 2.pdf185.4 kBAdobe PDFView/Open
07_chapter 3.pdf479.62 kBAdobe PDFView/Open
08_chapter 4.pdf3.24 MBAdobe PDFView/Open
09_chapter 5.pdf679.95 kBAdobe PDFView/Open
10_annexures.pdf225.91 kBAdobe PDFView/Open
11_chapter 6.pdf112.35 kBAdobe PDFView/Open
80_recommendation.pdf583.15 kBAdobe PDFView/Open


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