Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/428937
Title: | A data driven approach using arima and deep learning time series prediction for forecasting infectious diseases in mysuru karnataka |
Researcher: | Abhinandithe K, Stavelin |
Guide(s): | B, Madhu |
Keywords: | Biotechnology and Applied Microbiology Infectious Diseases, Time Series, Forecasting, NBR, GMDH, ARIMAX, LSTM, Prediction. Life Sciences Microbiology |
University: | JSS Academy of Higher Education and Research |
Completed Date: | 2022 |
Abstract: | Available |
Pagination: | i-vii, 1-161 p |
URI: | http://hdl.handle.net/10603/428937 |
Appears in Departments: | Life Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 36.16 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 5.96 MB | Adobe PDF | View/Open | |
03_contents.pdf | 1 MB | Adobe PDF | View/Open | |
04_abstract.pdf | 853.34 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.2 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 450.14 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 456.67 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 7.3 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 20.86 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 15.28 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 466.4 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 440.69 kB | Adobe PDF | View/Open |
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