Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/31562| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Marija Bikova | en_US |
| dc.contributor.author | Vesna Ojleska Latkoska | en_US |
| dc.contributor.author | GJoreski, Hristijan | en_US |
| dc.date.accessioned | 2024-10-08T13:38:39Z | - |
| dc.date.available | 2024-10-08T13:38:39Z | - |
| dc.date.issued | 2023-11 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/31562 | - |
| dc.title | Comparing Classical Machine Learning and Deep Learning for Classification of Arrhythmia from ECG Signals | en_US |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Ss. Cyril and Methodius University in Skopje | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Conference Papers | |
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