Please use this identifier to cite or link to this item:
http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5602Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rosnelly, Rika | - |
| dc.date.accessioned | 2023-04-26T16:29:49Z | - |
| dc.date.available | 2023-04-26T16:29:49Z | - |
| dc.date.issued | 2022-02-02 | - |
| dc.identifier.uri | http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5602 | - |
| dc.title | Improvement of Hybrid Image Enhancement for Detection and Classification of Malaria Disease Types and Stages with Artificial Intelligence | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | A Similarity | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 29. Cek-Plagiarism-iT Report 92% - Improvement of Hybrid Image Enhancement for Detection 2022.pdf | 3 MB | Adobe PDF | View/Open |
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