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

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01_title.pdfAttached File36.16 kBAdobe PDFView/Open
02_prelim pages.pdf5.96 MBAdobe PDFView/Open
03_contents.pdf1 MBAdobe PDFView/Open
04_abstract.pdf853.34 kBAdobe PDFView/Open
05_chapter 1.pdf1.2 MBAdobe PDFView/Open
06_chapter 2.pdf450.14 kBAdobe PDFView/Open
07_chapter 3.pdf456.67 kBAdobe PDFView/Open
08_chapter 4.pdf7.3 MBAdobe PDFView/Open
09_chapter 5.pdf20.86 kBAdobe PDFView/Open
10_chapter 6.pdf15.28 kBAdobe PDFView/Open
11_annexures.pdf466.4 kBAdobe PDFView/Open
80_recommendation.pdf440.69 kBAdobe PDFView/Open
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