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/10603/600853
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.coverage.spatial | ||
| dc.date.accessioned | 2024-11-12T11:43:39Z | - |
| dc.date.available | 2024-11-12T11:43:39Z | - |
| dc.identifier.uri | http://hdl.handle.net/10603/600853 | - |
| dc.format.extent | 3.7MB | |
| dc.language | English | |
| dc.relation | ||
| dc.rights | university | |
| dc.title | Rapid Epidemic Diseases Outbreak Prediction and Risk Assessment Using Machine Learning Techniques | |
| dc.title.alternative | ||
| dc.creator.researcher | Sugala, Ravi Kumar | |
| dc.subject.keyword | Artificial intelligence | |
| dc.subject.keyword | Automation and Control Systems | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Dengue | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Machine learning | |
| dc.subject.keyword | Network computers | |
| dc.subject.keyword | Prediction (Logic) | |
| dc.description.note | Epidemic Diseases, dengue prediction, deep belief network, support vector machine, Bayes network | |
| dc.contributor.guide | Swain, Sangram Keshari and M. Vamsi Krishna | |
| dc.publisher.place | Gajapati | |
| dc.publisher.university | Centurion University of Technology and Management | |
| dc.publisher.institution | Computer Sc. and Enggineering | |
| dc.date.registered | 2018 | |
| dc.date.completed | 2023 | |
| dc.date.awarded | 2023 | |
| dc.format.dimensions | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.source.university | University | |
| dc.type.degree | Ph.D. | |
| Appears in Departments: | Computer Sc. and Enggineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01. title.pdf | Attached File | 81.85 kB | Adobe PDF | View/Open |
| 02. preliminary pages.pdf | 621.27 kB | Adobe PDF | View/Open | |
| 03. table of contents.pdf | 130.22 kB | Adobe PDF | View/Open | |
| 04. abstract.pdf | 31.87 kB | Adobe PDF | View/Open | |
| 05. chapter 1.pdf | 153.05 kB | Adobe PDF | View/Open | |
| 06. chapter 2.pdf | 87.58 kB | Adobe PDF | View/Open | |
| 07. chapter 3.pdf | 352.21 kB | Adobe PDF | View/Open | |
| 08. chapter 4.pdf | 1.11 MB | Adobe PDF | View/Open | |
| 09. chapter 5.pdf | 685.7 kB | Adobe PDF | View/Open | |
| 10. chapter 6.pdf | 559.58 kB | Adobe PDF | View/Open | |
| 11. chapter 7.pdf | 314.33 kB | Adobe PDF | View/Open | |
| 12. chapter 8.pdf | 745.58 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 112.39 kB | Adobe PDF | View/Open | |
| annexure.pdf | 230.96 kB | Adobe PDF | View/Open | |
| conclusion and future work.pdf | 31.58 kB | Adobe PDF | View/Open |
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