Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI (2021) ECG beat classification using neural classifier based on deep autoencoder and decomposition techniques. Progress in Artificial Intelligence , 10(2192-6360), 333-347, Springer
Publications Scientifiques
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Résumé
Information
| Item Type | Journal |
|---|---|
| Divisions |
» Faculté des Sciences et de la Technologie |
| ePrint ID | 4420 |
| Date Deposited | 2023-09-15 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/fr/publication/article/4420 |
BibTex
@article{uniusa4420,
title={ECG beat classification using neural classifier based on deep autoencoder and decomposition techniques},
author={Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI},
journal={Progress in Artificial Intelligence}
year={2021},
volume={10},
number={2192-6360},
pages={333-347},
publisher={Springer}
}
title={ECG beat classification using neural classifier based on deep autoencoder and decomposition techniques},
author={Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI},
journal={Progress in Artificial Intelligence}
year={2021},
volume={10},
number={2192-6360},
pages={333-347},
publisher={Springer}
}