Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/478510
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-04-21T09:32:11Z | - |
dc.date.available | 2023-04-21T09:32:11Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/478510 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Tuckers congruence stochastic feature embedded deep belief neural learning for school student dropout prediction | |
dc.title.alternative | ||
dc.creator.researcher | C Rajagopal | |
dc.subject.keyword | deep belief neural learning for | |
dc.subject.keyword | school student dropout prediction | |
dc.subject.keyword | Tuckers congruence stochastic feature embedded | |
dc.description.note | 4694 | |
dc.contributor.guide | T Balasubramanian | |
dc.publisher.place | Salem | |
dc.publisher.university | Periyar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2016 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | 92mm | |
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10. appendices.pdf | Attached File | 383.31 kB | Adobe PDF | View/Open |
1.title.pdf | 277.75 kB | Adobe PDF | View/Open | |
2. certificate.pdf | 280.73 kB | Adobe PDF | View/Open | |
3. preliminary page.pdf | 1.15 MB | Adobe PDF | View/Open | |
4. chapter1.pdf | 411.17 kB | Adobe PDF | View/Open | |
5. chapter2.pdf | 309.86 kB | Adobe PDF | View/Open | |
6. chapter3.pdf | 736.98 kB | Adobe PDF | View/Open | |
7. chapter4.pdf | 718.02 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.92 MB | Adobe PDF | View/Open | |
8.chapter 5-7.pdf | 1.64 MB | Adobe PDF | View/Open | |
9. bibliography.pdf | 443.69 kB | Adobe PDF | View/Open |
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