Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/511795
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-09-12T10:06:52Z | - |
dc.date.available | 2023-09-12T10:06:52Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/511795 | - |
dc.description.abstract | newline | |
dc.format.extent | 243 pages | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Automated detection of Parkinson s disease based on ayurvedic principle | |
dc.title.alternative | ||
dc.creator.researcher | Majhi, Vinayak | |
dc.subject.keyword | Automated detection | |
dc.subject.keyword | Ayurvedic principle | |
dc.description.note | ||
dc.contributor.guide | Paul, Sudip and Saha, Goutam | |
dc.publisher.place | Shillong | |
dc.publisher.university | North-Eastern Hill University | |
dc.publisher.institution | Dept of Biomedical Engineering the School of Technology | |
dc.date.registered | ||
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: | Dept of Biomedical Engineering the School of Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 99.7 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 2.04 MB | Adobe PDF | View/Open | |
03_contents.pdf | 487.23 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 436.54 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 492.66 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 4.53 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.25 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 8.67 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 2.93 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 6.03 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 547.31 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 7.47 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.13 MB | Adobe PDF | View/Open |
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