Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/472730
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-03-27T12:21:17Z | - |
dc.date.available | 2023-03-27T12:21:17Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/472730 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | self | |
dc.title | Self Adaptive Intelligent Mobile Crowdsensing for Secure Data Integration | |
dc.title.alternative | ||
dc.creator.researcher | Anand, Saurabh | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Mishra, Manas Kumar , Kumar, Rakesh and Anant Ram | |
dc.publisher.place | Mathura | |
dc.publisher.university | GLA University | |
dc.publisher.institution | Department of Computer Engineering and Applications | |
dc.date.registered | 2017 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | xv+159p. | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Engineering & Applications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01.title.pdf | Attached File | 472.13 kB | Adobe PDF | View/Open |
02.certificate,acknowledge and list all.pdf | 1.03 MB | Adobe PDF | View/Open | |
03.content.pdf | 79.56 kB | Adobe PDF | View/Open | |
04.abstract.pdf | 51.13 kB | Adobe PDF | View/Open | |
05.chapter 01.pdf | 344.61 kB | Adobe PDF | View/Open | |
06.chapter 02.pdf | 152.68 kB | Adobe PDF | View/Open | |
07.chapter 03.pdf | 886.71 kB | Adobe PDF | View/Open | |
08.chapter 04.pdf | 2.6 MB | Adobe PDF | View/Open | |
09.chapter 05.pdf | 80.16 kB | Adobe PDF | View/Open | |
10.annexure.pdf | 4.41 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.03 MB | Adobe PDF | View/Open |
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