Please use this identifier to cite or link to this item:
http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/6057Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rika, Rosnelly | - |
| dc.date.accessioned | 2023-12-01T07:44:47Z | - |
| dc.date.available | 2023-12-01T07:44:47Z | - |
| dc.date.issued | 2023-07-29 | - |
| dc.identifier.uri | http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/6057 | - |
| dc.title | Comparative Analysis of Support Vector Machine and Convolutional Neural Network for Malaria Parasite Classification and Feature Extraction | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Untitled | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Korespondensi-Comparative Analysis of Support Vector Machine and CNN for Malaria Parasite.pdf | 233.8 kB | Adobe PDF | View/Open |
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