Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/565594
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Department of Computer Science and Engineering | |
dc.date.accessioned | 2024-05-21T10:56:27Z | - |
dc.date.available | 2024-05-21T10:56:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/565594 | - |
dc.description.abstract | Abstract Available newline newline | |
dc.format.extent | NA | |
dc.language | English | |
dc.relation | TH5133 | |
dc.rights | university | |
dc.title | Empirical validation of stochastic approches to device and network state identification | |
dc.title.alternative | Na | |
dc.creator.researcher | Sharma, Swati | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Theory and Methods | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | NA | |
dc.contributor.guide | Saran, Huzur and Hussain, Alefiya | |
dc.publisher.place | Delhi | |
dc.publisher.university | Indian Institute of Technology Delhi | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | NA | |
dc.date.completed | 2016 | |
dc.date.awarded | 2016 | |
dc.format.dimensions | NA | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 85.6 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 253.02 kB | Adobe PDF | View/Open | |
03_content.pdf | 242.75 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 171.66 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 949.94 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.07 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.06 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.15 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 3.11 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 261.51 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 1.19 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 337.18 kB | Adobe PDF | View/Open |
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