Convolutional neural networks (CNNs) have been widely applied to machinery health
management in recent years, whereas research on data-driven denoising methods is …

Robust radar detection for small unmanned aerial vehicles (UAVs) is a challenging problem,
as UAVs tend to fly at slow speed and low altitude, with a small radar cross section. Those …

In the fourth industrial revolution, data-driven intelligent fault diagnosis for industrial
purposes serves a crucial role. In contemporary times, although deep learning is a popular …

In this brief, we propose a novel thresholding methodology using a combination an adaptive
homomorphic filter (AHF) and a weighted sinc interpolated empirical mode decomposition …

In the explosion experiment, the explosion vibration signal is the important information to
evaluate the explosion equivalent or to locate the explosion point. However, the …