Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/430011
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-22T10:52:33Z | - |
dc.date.available | 2022-12-22T10:52:33Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/430011 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | An efficient stacking ensemble learning techniques for automated sleep staging applied to polysomnography signals data | |
dc.title.alternative | ||
dc.creator.researcher | Santosh Kumar, Satapathy | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Learning techniques | |
dc.subject.keyword | Polysomnography signals data | |
dc.description.note | ||
dc.contributor.guide | Loganathan, D | |
dc.publisher.place | Pondicherry | |
dc.publisher.university | Pondicherry University | |
dc.publisher.institution | Pondicherry Engineering College | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Pondicherry Engineering College |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 328.1 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.25 MB | Adobe PDF | View/Open | |
03_content.pdf | 106.97 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 2.16 MB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 668.28 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.47 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.29 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 2.35 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.39 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 327.17 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 691.12 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 694.99 kB | Adobe PDF | View/Open |
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