IEEE

Multi-Scale Convolutional Attention and Riemannian Geometry Network for EEG-Based Motor Imagery Classification

Abstract: The electroencephalogram (EEG) is a non-invasive technique with high temporal resolution that has become the research frontier of brain-computer interface (BCI) systems. It is widely used in ...
IEEE

Non-Orthogonal Multiple Access for UAV-Aided Heterogeneous Networks: A Stochastic Geometry Model

Abstract: In this work, we explore the potential benefits of deploying unmanned aerial vehicles (UAVs) as aerial base stations (ABSs) with sub-6GHz bands and small cells terrestrial base stations ...