Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...

This study addresses the challenge of precise control of the maglev system under the condition of rapid time-varying dynamics and large time delay. Maglev technology has been applied in many fields, ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...