Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/508448
Title: | Efficient dimensioning of mental health data using predictive analytics |
Researcher: | Gore, Ela Rajendra |
Guide(s): | Rathi, Sheetal |
Keywords: | Computer Science Electroencephalogram (EEG) Engineering and Technology Half Total Error Rate (HTER) |
University: | University of Mumbai |
Completed Date: | 2022 |
Abstract: | File attached newline |
Pagination: | xvi, 219p |
URI: | http://hdl.handle.net/10603/508448 |
Appears in Departments: | Thakur College of Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 13.88 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 465.91 kB | Adobe PDF | View/Open | |
03_contents.pdf | 131.38 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 121.14 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 602.53 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 544.68 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 374 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.76 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 126.54 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 615.15 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 139.57 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: