Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/428937
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Life Sciences | |
dc.date.accessioned | 2022-12-20T11:39:42Z | - |
dc.date.available | 2022-12-20T11:39:42Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/428937 | - |
dc.description.abstract | Available | |
dc.format.extent | i-vii, 1-161 p | |
dc.language | English | |
dc.relation | 105 | |
dc.rights | university | |
dc.title | A data driven approach using arima and deep learning time series prediction for forecasting infectious diseases in mysuru karnataka | |
dc.title.alternative | ||
dc.creator.researcher | Abhinandithe K, Stavelin | |
dc.subject.keyword | Biotechnology and Applied Microbiology | |
dc.subject.keyword | Infectious Diseases, Time Series, Forecasting, NBR, GMDH, ARIMAX, LSTM, Prediction. | |
dc.subject.keyword | Life Sciences | |
dc.subject.keyword | Microbiology | |
dc.description.note | summary p 152-153, References 155-161 p | |
dc.contributor.guide | B, Madhu | |
dc.publisher.place | Mysore | |
dc.publisher.university | JSS Academy of Higher Education and Research | |
dc.publisher.institution | Life Sciences | |
dc.date.registered | 2017 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | 3 | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
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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