To solve the wind power prediction problem, the Improved Sparrow Search Algorithm-Least
Squares Support Vector Machine (ISSA-LS-SVM) prediction model based on chaotic …

The progressive growth in demand and requirements for bearing problem diagnostics in the
operating segment of trains has resulted from an increase in train speed and the …

Accurate prediction of the Particulate Matter 2.5 (PM 2.5) plays a crucial role in the accurate
management of air pollution and prevention of respiratory diseases. However, PM 2.5 as a …

To solve the fault diagnosis difficulty of bearings with small data samples, a novel multi-
information fusion vision transformer (ViT) model based on time–frequency representation …

Despite the rapid development of support vector regression (SVR), it costs unacceptable
training time in large-scale datasets and is hard to fit complex, high frequency oscillating …

In this paper, we propose a robust respiratory rate (RR) measurement method using a two-
level fusion of video and FMCW (frequency modulated continuous wave) radar information …

In order to ensure the driving safety of vehicles in windy environments, a wind monitoring
and warning system is widely used, in which a wind speed prediction algorithm with better …

Fetal heart rate (FHR) monitoring is an important medical-assisted diagnostic technique
widely used by clinicians to assess fetal well-being. However, one challenge is that the …

Atrial fibrillation is a common heart rhythm disorder that is now becoming a significant
healthcare challenge as it affects more and more people in developed countries. This paper …

The increasing capacity of today's technology represents great advances in diagnosing
diseases using standard procedures supported by computer science. Deep learning …