Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/525739
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-11-15T10:41:00Z | - |
dc.date.available | 2023-11-15T10:41:00Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/525739 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | An Intelligent Method for Predicting Cardiac Disease Based on Optimization Techniques and Deep Learning Architectures | |
dc.title.alternative | ||
dc.creator.researcher | M, Balamurugan | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Deep Learning Architectures | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Predicting Cardiac Disease | |
dc.description.note | ||
dc.contributor.guide | Blessed Prince P | |
dc.publisher.place | Ittagalpura | |
dc.publisher.university | Presidency University, Karnataka | |
dc.publisher.institution | School of Engineering | |
dc.date.registered | 2019 | |
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: | School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 14.27 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 855.62 kB | Adobe PDF | View/Open | |
03_content.pdf | 25.92 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 10.25 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 447.51 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 427.68 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 810.8 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.07 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 76.51 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 335.94 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 306.8 kB | Adobe PDF | View/Open |
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