Adopting Convolutional Long Short-Term Memory Network to Detect Seizures-Reference-Cited by-同舟云学术

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Adopting Convolutional Long Short-Term Memory Network to Detect Seizures

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
language:
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Author:

Mahajan Arpana¹,Somaraj Kavitha²,Jamal Md. Shahid³,Sameer Mustafa⁴

Affiliation:

1. Accenture Technology Centre,India

2. Higher Colleges of Technology,Programs and Curriculum Department,Dubai,UAE

3. RGPV,Dept. of Electronics and Communication Engineering,Bhopal,India

4. National Institute of Technology,Dept. of Electronics and Communication Engineering,Patna,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306872.pdf?arnumber=10306872

Reference29 articles.

1. Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

2. Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy

3. Fine-Tuning CNN Image Retrieval with No Human Annotation

4. CNN-based Epilepsy detection using image like features of EEG signals

5. Epileptic Seizure Detection Using Multi-Channel EEG Wavelet Power Spectra and 1-D Convolutional Neural Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification;IEEE Access;2024

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