Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/549556
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-03-07T08:20:55Z | - |
dc.date.available | 2024-03-07T08:20:55Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/549556 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Classification and Identifying Human Body Skin Lesions Using Regional Convolution and Dense Neural Network | |
dc.title.alternative | ||
dc.creator.researcher | Deepasundari K | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Thirumurthi Raja A | |
dc.publisher.place | Chennai | |
dc.publisher.university | Vels University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2019 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01. title.pdf | Attached File | 52.36 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 277.59 kB | Adobe PDF | View/Open | |
03_content.pdf | 15.25 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 8.17 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.07 MB | Adobe PDF | View/Open | |
06_chapter - 2.pdf | 767.1 kB | Adobe PDF | View/Open | |
07_ chapter - 3.pdf | 2.87 MB | Adobe PDF | View/Open | |
08_ chapter - 4.pdf | 297.58 kB | Adobe PDF | View/Open | |
09_chapter - 5.pdf | 414.68 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 1.5 MB | Adobe PDF | View/Open | |
11_chapter - 6.pdf | 1.22 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 7.09 kB | Adobe PDF | View/Open |
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