Sleep disorders are significant health concerns affecting a large population. Related clinical
studies face the deficiency in sleep data and challenges in data analysis, which requires …

Sleep staging is imperative for evaluating sleep quality and diagnosing sleep disorders.
Extant sleep staging methods with fusing multiple data-views of physiological signals have …

Sleep staging is an essential component of sleep medicine. Traditional expert-based
staging method is time-consuming and labor intensive, prompting research interest in …

This work proposes a new method for accurate power quality disturbance (PQD)
classification. Firstly, 3D-visualized spiral curve (3D-VSC) is innovatively proposed to …

Introduction Establishing a driving fatigue monitoring system is of utmost importance as
severe fatigue may lead to unimaginable consequences. Fatigue detection methods based …

Emotion recognition constitutes a pivotal research topic within affective computing, owing to
its potential applications across various domains. Currently, emotion recognition methods …

Sleep staging serves as a fundamental assessment for sleep quality measurement and
sleep disorder diagnosis. Although current deep learning approaches have successfully …

Introduction The significant role of emotional recognition in the field of human-machine
interaction has garnered the attention of many researchers. Emotion recognition based on …

Land use changes are analyzed correctly, a series of improvements according to the
changes are carried out appropriately, the relationship between land use development and …

This work attempts to design an effective sleep staging system, making the best use of the
available signals, strategies, and features in the literature. It must not only perform well on …