Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/487848
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-05-31T12:13:28Z | - |
dc.date.available | 2023-05-31T12:13:28Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/487848 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Residual Learning CNN for Respiratory Viral Infection Segmentation and Differentiation | |
dc.title.alternative | ||
dc.creator.researcher | Pandey, Ashish | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Dubey, Sandeep | |
dc.publisher.place | Bhopal | |
dc.publisher.university | RKDF University | |
dc.publisher.institution | Faculty of Engineering and Technology | |
dc.date.registered | ||
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: | Faculty of Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01 title.pdf | Attached File | 155.07 kB | Adobe PDF | View/Open |
02 prelim pages.pdf | 302.55 kB | Adobe PDF | View/Open | |
03 content.pdf | 402 kB | Adobe PDF | View/Open | |
04 abstract.pdf | 27.36 kB | Adobe PDF | View/Open | |
05 chapter 1.pdf | 687.83 kB | Adobe PDF | View/Open | |
06 chapter 2.pdf | 344.11 kB | Adobe PDF | View/Open | |
07 chapter 3.pdf | 260.81 kB | Adobe PDF | View/Open | |
08 chapter 4.pdf | 906.44 kB | Adobe PDF | View/Open | |
09 chapter 5.pdf | 688.55 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 2.43 MB | Adobe PDF | View/Open | |
11 chapter 6.pdf | 1.25 MB | Adobe PDF | View/Open | |
12 chapter 7.pdf | 153.25 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 306.98 kB | Adobe PDF | View/Open |
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