Visual Interpretation of Recurrent Neural Network on Multi-dimensional Time-series Forecast

Recent attempts at utilizing visual analytics to interpret Recurrent Neural Networks (RNNs) mainly focus on natural language processing (NLP) tasks that take symbolic sequences as input. However, many real-world problems like environment pollution forecasting apply RNNs on sequences of multi-dimensional data where each dimension represents an...

Reducing computational workload from electrically large quadratic surface at high frequency

In this paper, we propose a frequency independent approach, the numerical steepest descent path method, for computing the physical optics scattered electromagnetic field on the quadratic parabolic and saddle surfaces. Due to the highly oscillatory nature of the physical optics integral in the high frequency regime, the proposed method relies on...