Abstract: Deep learning is widely used to decode the electroencephalogram (EEG) signal. However, there are few attempts to specifically study how to explain EEG-based deep learning models. In this ...

For decades, many runners, and even coaches, have assumed that being a runner meant never walking during a training run or race. Even the most accomplished runners would apologize when they walked at ...

Abstract: A machine learning-assisted quasi-bisection method (MLAQBM) is proposed for the broadband optimization of the pixelated patch antennas. Distinct from traditional MLA optimization methods, ...