Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/468229
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-03-13T07:20:23Z | - |
dc.date.available | 2023-03-13T07:20:23Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/468229 | - |
dc.description.abstract | newline | |
dc.format.extent | All Pages | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Design And Evaluation of Biometric Based Secure And Efficient Authentication Model Using Deep Learning | |
dc.title.alternative | ||
dc.creator.researcher | Sharma, Uttam | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Tomar, Pradeep | |
dc.publisher.place | Greater Noida | |
dc.publisher.university | Gautam Buddha University | |
dc.publisher.institution | Department of Computer Science Engineering | |
dc.date.registered | 2019 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 214.07 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.13 MB | Adobe PDF | View/Open | |
03_content.pdf | 288.25 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 9.24 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 624.18 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 499.94 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.66 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.46 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.09 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 297.15 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 2.76 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 297.15 kB | Adobe PDF | View/Open |
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