PH.D Dissertation on “Deep Learning Classification of Brain Neurophysiological Signals Using Heterogeneous Computing”
admin_omar2023-04-14T19:07:43+00:00A PH.D dissertation was discussed in Department of Computer Engineering / College of Engineering / University of Mosul entitled "Deep Learning Classification of Brain Neurophysiological Signals Using Heterogeneous Computing" submitted by ( Ali Mukhlif Ahmed Al-Saegh), Supervised by Prof. Dr. Shefa A. Dawwd and Prof. Dr. Jassim M. Abdul-Jabbar on Tuseday, Jan. 04, 2022.The dissertation proposes a novel data augmentation method for enlarging already available EEG datasets. The proposed CutCat augmentation method generates EEG trials from inter- and intra-subjects and trials. The method relies on cutting a specific portion from an EEG trial and concatenating it with another portion from another [Read More]