Multi-Scale Convolutional Attention and Riemannian Geometry Network for EEG-Based Motor Imagery Classification
Author:
Affiliation:
1. Shandong University of Traditional Chinese Medicine, Jinan, China
2. Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China
Funder
Department of Science and Technology of Shandong Provincial
Quancheng 5150 Project
Taishan Industrial Experts Program
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10549908.pdf?arnumber=10549908
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1. Sensor Modalities for Brain-Computer Interface Technology: A Comprehensive Literature Review
2. EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
3. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b
4. Graphic image classification method based on an attention mechanism and fusion of multilevel and multiscale deep features
5. Actual rating calculation of the zoom cloud meetings app using user reviews on google play store with sentiment annotation of BERT and hybridization of RNN and LSTM
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3.人才评估人才评估
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