Thorough performance evaluation of automated vehicles (AVs) is an essential prerequisite
for AVs' release and deployment. The challenges posed by dynamics performance appraisal …

In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for
epileptic electroencephalogram (EEG) signal classification. The goal is to develop a …

Especially due to the unconscious use of petroleum products, the ocean faces a potential
danger: $\textit {plastic pollution} $. Plastic pollutes not only the ocean but also directly the …

The asynchronization among autonomous underwater vehicles (AUVs) is inevitable due to
the inherent offsets and drifts in clocks, which critically degrades the accuracy of AUV …

This paper aims to enhance the array Beamforming (BF) robustness by tackling issues
related to BF weight state estimation encountered in Constant Modulus Blind Beamforming …

Inaccuracies in both measurements and parameter determination can generate biased
results in state estimation. The change in branch temperature precipitates fluctuations in …

The vulnerabilities of information and communication technology (ICT) infrastructures leave
room for cyber attacks threatening the reliable operations of power systems. Based on the …

Existing trajectory planning methods are struggling to handle the issue of autonomous track
swinging during navigation, resulting in significant errors when reaching the destination. In …

In order to reduce the influence of historical measurement data errors in the process of
vehicle state estimation and improve the accuracy of the vehicle state estimation, a limited …

In this article, we introduce a novel trajectory planning approach for autonomous vehicle,
called as Variable Splitting based Differential Dynamic Programming (VS-DDP). Utilizing …