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/10603/509563
| Title: | Identification of ambilyapia disease using recurrent neural network and deep coded link net archicture |
| Researcher: | Lalitha S |
| Guide(s): | Shanthi N |
| Keywords: | Amblyopia Computer Science Computer Science Artificial Intelligence Detection development Engineering and Technology |
| University: | Anna University |
| Completed Date: | 2022 |
| Pagination: | xvii, 109p |
| URI: | http://hdl.handle.net/10603/509563 |
| Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_title.pdf | Attached File | 226.36 kB | Adobe PDF | View/Open |
| 02_prelim.pdf | 650.56 kB | Adobe PDF | View/Open | |
| 03_content.pdf | 222.62 kB | Adobe PDF | View/Open | |
| 04_abstract.pdf | 214.5 kB | Adobe PDF | View/Open | |
| 05_chapter 1.pdf | 1.23 MB | Adobe PDF | View/Open | |
| 06_chapter 2.pdf | 943.95 kB | Adobe PDF | View/Open | |
| 07_chapter 3.pdf | 1.67 MB | Adobe PDF | View/Open | |
| 08_chapter 4.pdf | 1.23 MB | Adobe PDF | View/Open | |
| 09_chapter 5.pdf | 1.3 MB | Adobe PDF | View/Open | |
| 10_annexures.pdf | 163.18 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 138.85 kB | Adobe PDF | View/Open |
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