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
Title: Iot based air quality monitoring system with power consumption optimization and air quality parameters prediction using deep learning
Researcher: Barot, Virendrakumar Kantilal
Guide(s): Viral, Kapadia
Keywords: Computer Science
Computer Science Software Engineering
Engineering and Technology
University: Maharaja Sayajirao University of Baroda
Completed Date: 2021
Abstract: newlineAbstract Available
Pagination: 112
URI: http://hdl.handle.net/10603/371633
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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