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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review.

, , , , , , , и . Neural Comput. Appl., 35 (20): 14681-14722 (июля 2023)

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Faraz Umar

Umar Fauzi

Umar Muksin

Mohamed Umari

Muhammad Naveed Umar

 

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Medical Image Forgery Detection for Smart Healthcare., , , и . IEEE Commun. Mag., 56 (4): 33-37 (2018)Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review., , , , , , , и . Neural Comput. Appl., 35 (20): 14681-14722 (июля 2023)Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification., , , , и . IEEE Access, (2019)Learning for Smart Edge: Cognitive Learning-Based Computation Offloading., , , , и . Mob. Networks Appl., 25 (3): 1016-1022 (2020)Multi-CNN Feature Fusion for Efficient EEG Classification., , , , и . ICME Workshops, стр. 1-6. IEEE, (2020)Intrusion Detection in IoT Systems Using Denoising Autoencoder., , , , и . IEEE Access, (2024)Attention based Inception model for robust EEG motor imagery classification., , , , и . I2MTC, стр. 1-6. IEEE, (2021)Privacy-preserving based task allocation with mobile edge clouds., , , , , и . Inf. Sci., (2020)Cognitive Smart Healthcare for Pathology Detection and Monitoring., , , , и . IEEE Access, (2019)Attention-Inception and Long- Short-Term Memory-Based Electroencephalography Classification for Motor Imagery Tasks in Rehabilitation., , , , и . IEEE Trans. Ind. Informatics, 18 (8): 5412-5421 (2022)