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https://hdl.handle.net/10216/174935Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Tamás Karácsony | |
| dc.date.accessioned | 2026-07-15T01:32:38Z | - |
| dc.date.available | 2026-07-15T01:32:38Z | - |
| dc.date.issued | 2026-05-27 | |
| dc.date.submitted | 2026-07-14 | |
| dc.identifier.other | sigarra:784430 | |
| dc.identifier.uri | https://hdl.handle.net/10216/174935 | - |
| dc.language.iso | eng | |
| dc.rights | embargoedAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Advancing AI in Healthcare: Action Recognition and Human Pose Estimation for Epileptic Seizure Classification | |
| dc.type | Tese | |
| dc.date.embargo | 2029-05-26 | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Programa Doutoral em Engenharia Electrotécnica e de Computadores | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 2 | |
| rcaap.embargofct | Aguarda publicações | |
| Appears in Collections: | FEUP - Tese | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 784430.pdf Restricted Access | Advancing AI in Healthcare: Action Recognition and Human Pose Estimation for Epileptic Seizure Classification | 88.42 MB | Adobe PDF | View/Open |
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