Efficient Approach to Detect Epileptic Seizure using Machine Learning Models for Modern Healthcare System-Reference-Cited by-同舟云学术

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Efficient Approach to Detect Epileptic Seizure using Machine Learning Models for Modern Healthcare System

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Region 10 Symposium (TENSYMP)
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Author:

Rohan Tanbin Islam,Yusuf Md. Salah Uddin,Islam Monira,Roy Shidhartho

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9230456/9230461/09230731.pdf?arnumber=9230731

Cited by 9 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. HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals;Brain Informatics;2024-08-21

2. A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals;IEEE Journal of Biomedical and Health Informatics;2024-06

3. Positional multi-length and mutual-attention network for epileptic seizure classification;Frontiers in Computational Neuroscience;2024-01-25

4. Epileptic Seizure Recognition System Using Neural Networks and Support Vector Machine Models;Innovations in Sustainable Technologies and Computing;2024

5. A Fusion of CNN and Grey Wolf Optimization-Enhanced BiGRU for Epileptic Seizure Recognition Using EEG Signals;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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