Motor Imagery EEG Classification Using Fine-Tuned Deep Convolutional EfficientNetB0 Model

Author:

Ali Muhammad Shahroze1,Hassan Ali1,Rahim Aqsa1,Ashraf Muhammad Hashir1,Rahim Amna1,Saghir Shayaan1

Affiliation:

1. National University of Sciences & Technology (NUST),CEME,Department of Computer & Software Engineering and Department of Mechatronics Engineering,Islamabad,Pakistan

Publisher

IEEE

Reference21 articles.

Cited by 4 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. Enhancing Rice Leaf Disease Classification: A Combined Algorithm Approach for Improved Accuracy and Robustness;Lecture Notes in Electrical Engineering;2024

2. Comparative Analysis of Methods for Classifying Electroencephalography Signals for a Robotic Brain-Computer Interface;Studies in Systems, Decision and Control;2024

3. CNN based Human Intention-Behavior Prediction using Common Average Reference and STFT of EEG Signals;2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC);2023-12-14

4. A Novel Signal-to-Image Conversion Approach with Ensembles of Pretrained CNNs for Motor Imagery EEG Signals;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

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