Abstract: In this study, we propose a graph sequence neural network (GSNN) to accurately decode patterns of motor imagery from electroencephalograms (EEGs) in the presence of distractions. GSNN aims ...

Abstract: Public transportation is an indispensable part of daily life, and predicting bus travel times has long been a focus in public transportation research. In recent years, the development of ...