Cascaded Convolutional Neural Network with Attention Mechanism for Mobile EEG-based Driver Drowsiness Detection System-Reference-Cited by-同舟云学术

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Cascaded Convolutional Neural Network with Attention Mechanism for Mobile EEG-based Driver Drowsiness Detection System

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Ding Sirui,Yuan Zhiyong,An Panfeng,Xue Guotong,Sun Wenxiang,Zhao Jianhui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8965270/8982928/08982938.pdf?arnumber=8982938

Cited by 14 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. TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition;Brain Topography;2023-11-23

3. An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning;Sensors;2023-06-18

5. Uncertainty-Aware Denoising Network for Artifact Removal in EEG Signals;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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