1. Shodhganga@INFLIBNET
  2. Maharaja Sayajirao University of Baroda
  3. Dep of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/371633
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DC FieldValueLanguage
dc.coverage.spatial112
dc.date.accessioned2022-04-01T10:38:23Z-
dc.date.available2022-04-01T10:38:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/371633-
dc.description.abstractnewlineAbstract Available
dc.format.extent112
dc.languageEnglish
dc.relation141
dc.rightsuniversity
dc.titleIot based air quality monitoring system with power consumption optimization and air quality parameters prediction using deep learning
dc.title.alternative
dc.creator.researcherBarot, Virendrakumar Kantilal
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.noteConclusion as ch.-6,p.-107
dc.contributor.guideViral, Kapadia
dc.publisher.placeVadodara
dc.publisher.universityMaharaja Sayajirao University of Baroda
dc.publisher.institutionDep of Computer Science and Engineering
dc.date.registered2017
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Dep of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
10-chapter2(liturature review).pdfAttached File477.74 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
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
80_recommendation.pdf510.24 kBAdobe PDFView/Open
8-list of figures.pdf201.41 kBAdobe PDFView/Open
9-chapter1(introduction).pdf494.63 kBAdobe PDFView/Open
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