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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1084
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dc.contributor.authorBarot, Virendrakumar Kantilal-
dc.date.accessioned2022-03-24T18:14:26Z-
dc.date.available2022-03-24T18:14:26Z-
dc.date.issued2022-01-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1084-
dc.language.isoenen_US
dc.publisherThe Maharaja Sayajirao University of Barodaen_US
dc.subjectPoweren_US
dc.subjectAir Qualityen_US
dc.subjectParametersen_US
dc.subjectComputer Science & Engineeringen_US
dc.titleIoT based Air Quality Monitoring System with Power Consumption Optimization and Air Quality Parameters Prediction using Deep Learningen_US
dc.typeThesisen_US
Appears in Collections:THESES-Computer Sci.

Files in This Item:
File Description SizeFormat 
1-Title.pdf222.62 kBAdobe PDFView/Open
2-Certificate.pdf271.21 kBAdobe PDFView/Open
3-Declaration.pdf94.15 kBAdobe PDFView/Open
4-Acknowledgement.pdf87.82 kBAdobe PDFView/Open
5-Abstract.pdf286.17 kBAdobe PDFView/Open
6-Table of Content.pdf134.7 kBAdobe PDFView/Open
7-List of Tables.pdf11.05 kBAdobe PDFView/Open
8-List of Figures.pdf201.41 kBAdobe PDFView/Open
9-Chapter1(Introduction).pdf494.63 kBAdobe PDFView/Open
10-Chapter2(Liturature Review).pdf477.74 kBAdobe PDFView/Open
11-Chapter3(Fundamentals of the IoT and Deep Learning).pdf992.87 kBAdobe PDFView/Open
12-Chapter4(PROPOSED SYSTEM ARCHITECTURE AND METHODOLOGY).pdf1.43 MBAdobe PDFView/Open
13-Chapter5(EXPERIMENTS AND RESULT ANALYSIS).pdf2.52 MBAdobe PDFView/Open
14-Chapter6(Conclusions and Road-map).pdf290.96 kBAdobe PDFView/Open
15-List of Publication.pdf285.78 kBAdobe PDFView/Open
16-References.pdf469.85 kBAdobe PDFView/Open
17-Synopsis.pdf1.68 MBAdobe PDFView/Open
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