Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/522097
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dc.coverage.spatialIot enabled smart intelligence system for air quality monitoring
dc.date.accessioned2023-10-31T11:33:03Z-
dc.date.available2023-10-31T11:33:03Z-
dc.identifier.urihttp://hdl.handle.net/10603/522097-
dc.format.extentxvii, 134 p.
dc.languageEnglish
dc.relationp. 118-133
dc.rightsuniversity
dc.titleIot enabled smart intelligence system for air quality monitoring
dc.title.alternative
dc.creator.researcherSenthilkumar R
dc.subject.keywordAir Pollution Emissions
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordDeep Learning Techniques
dc.subject.keywordEngineering and Technology
dc.subject.keywordHighest Frequency of Pm (Particulate Matter)
dc.description.note
dc.contributor.guideVenkatakrishnan P and Karthikeyan P
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.dimensions21 cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File68.86 kBAdobe PDFView/Open
02_prelim_pages.pdf3 MBAdobe PDFView/Open
03_content.pdf62.01 kBAdobe PDFView/Open
04_abstract.pdf126.7 kBAdobe PDFView/Open
05_chapter 1.pdf857.48 kBAdobe PDFView/Open
06_chapter 2.pdf587.94 kBAdobe PDFView/Open
07_chapter 3.pdf1.48 MBAdobe PDFView/Open
08_chapter 4.pdf1.19 MBAdobe PDFView/Open
09_chapter 5.pdf1.65 MBAdobe PDFView/Open
10_annexures.pdf168.11 kBAdobe PDFView/Open
80_recommendation.pdf87.19 kBAdobe PDFView/Open


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