Pedestrian trajectory prediction is fundamental in various applications, such as autonomous driving, intelligent surveillance, and traffic management. Existing methods generally fall into two categories: model-driven approaches and data-driven approaches. However, both approaches have inherent limitations when appli...

The removal of artifacts is essential for improving the quality and reliability of electroencephalogram (EEG) data in academic research. Traditional methods, such as mix source separation and signal space projection, often involve subjective and time-consuming manual parameter selection, which is ...

In this paper, the control problem based on state/disturbance observers is studied for a class of networked aperiodic sampled-data systems with unknown disturbances and output delays. A novel observer structure is devised to estimate states and disturbances by predicting the actual outp...

This article addresses the research gap on fault diagnosis of multistage conversion circuits within analog circuit fault diagnosis. A diagnostic system is introduced, in which multipoint data fusion is combined with deep feature analysis, leading to the integrated dual-axis vision transformer...

This article addresses the issue of multiple influences maximization under dynamic link strength (MIMDLS) in multi-agent systems (MASs). Initially, a novel model for dynamic link strength within MASs is suggested to facilitate the simulation of multiple influences diffusion. Subsequently, the MIM...

Additive manufacturing using fused deposition modelling (FDM) is increasingly explored for personalised drug delivery, but the lack of suitable biodegradable and printable filaments limits its pharmaceutical application. In this study, we investigated the influence of formulation and structural design ...

This article addresses the problem of resilient cubature Kalman filtering (RCKF) for nonlinear systems with sensor saturations under a round-robin protocol (RRP) affected by channel noises. To enhance transmission efficiency, the RRP is employed in the communication channel to regulate data ...

Over the past few decades, 3D digital human modeling has emerged as a vibrant field of research, playing a foundational role in various applications such as film production, sports, medical sciences, and human-computer interaction. Early research efforts predominantly focused on artist-driven...

Interior control signals derived from motor controllers have gained increasing attention in closed-loop motor drive systems for interturn short-circuit fault diagnosis. Mainstream diagnosis methods generally rely on the extraction of control signals within experimental settings featuring high sampling rate...