Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/428436
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-19T11:43:53Z | - |
dc.date.available | 2022-12-19T11:43:53Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/428436 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Model to detect early dementia related common disorder using deep neural network | |
dc.title.alternative | ||
dc.creator.researcher | Guram, Harsimran | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Interdisciplinary Applications | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Sharma, Ashok | |
dc.publisher.place | Phagwara | |
dc.publisher.university | Lovely Professional University | |
dc.publisher.institution | Computer Application/Computer Science and Engineering | |
dc.date.registered | 2018 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer Application/Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 117.19 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.01 MB | Adobe PDF | View/Open | |
03_content.pdf | 330.08 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 642.58 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 7.75 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 10.73 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.59 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.97 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 874.89 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 623.65 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 802.01 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 2.84 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 918.77 kB | Adobe PDF | View/Open |
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