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

, , , , , , , and . Neural Comput. Appl., 35 (20): 14681-14722 (July 2023)

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Voice pathology detection using interlaced derivative pattern on glottal source excitation., , , , , , , and . Biomed. Signal Process. Control., (2017)Low cost reconfigurable Elliptic Crypto-hardware., , , and . AICCSA, page 788-792. IEEE Computer Society, (2014)Multi-CNN Feature Fusion for Efficient EEG Classification., , , , and . ICME Workshops, page 1-6. IEEE, (2020)A Cross-Layer, Anomaly-Based IDS for WSN and MANET., , , and . Sensors, 18 (2): 651 (2018)Deep Learning-Based Detection of Articulatory Features in Arabic and English Speech., , , and . Sensors, 21 (4): 1205 (2021)A technique to overcome the problem of small size database for automatic speaker recognition., , , , and . ICDIM, page 303-308. IEEE, (2010)Voice Pathology Detection Using Multiresolution Technique., , , , and . EMS, page 185-189. IEEE, (2014)Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification., , , , and . IEEE Access, (2019)KSU Speech Database: Text Selection, Recording and Verification., , , , and . EMS, page 237-242. IEEE, (2013)Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review., , , , , , , and . Neural Comput. Appl., 35 (20): 14681-14722 (July 2023)