Laith Khalid Younis Al-Bahadli, Reza Mollaei Karam

A Hybrid Deep Learning Approach for Classifying EEG Time-Frequency Representation based on Data Augmentation and Enhancement

A hybrid deep learning method for classifying EEG time-frequency representations based on data augmentation and data improvement and results show that the three innovations of the proposed method lead to an improvement in the classification process of EEG time-frequency representations.