Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/590712
| Title: | A Feature Based Refined Approach for Scoliotic Detection |
| Researcher: | Gayathry S. Warrier |
| Guide(s): | K. S. Angel Viji |
| Keywords: | Computer Science Computer Science Interdisciplinary Applications Engineering and Technology |
| University: | Noorul Islam Centre for Higher Education |
| Completed Date: | 2023 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/590712 |
| Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 80_recommendation.pdf | Attached File | 171.59 kB | Adobe PDF | View/Open |
| annexure.pdf | 340.47 kB | Adobe PDF | View/Open | |
| chapter_1.pdf | 5.14 MB | Adobe PDF | View/Open | |
| chapter_2.pdf | 5.14 MB | Adobe PDF | View/Open | |
| chapter_3.pdf | 5.13 MB | Adobe PDF | View/Open | |
| chapter_4.pdf | 5.14 MB | Adobe PDF | View/Open | |
| chapter_5.pdf | 5.14 MB | Adobe PDF | View/Open | |
| chapter_6.pdf | 5.14 MB | Adobe PDF | View/Open | |
| chapter_7.pdf | 5.13 MB | Adobe PDF | View/Open | |
| prelims.pdf | 410.9 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: