Automated detection of depression using Electroencephalogram (EEG) signals has become
a promising application in advanced bioinformatics technology. Although current methods …

Objective: To address cross-user variability problem in the myoelectric pattern recognition, a
novel method for domain generalization and adaptation using both mix-up and adversarial …

Breast cancer is a cancer disease that seriously threatens women's health and occupies the
first place in female cancer mortality. At present, the incidence rate of breast cancer in China …

With the rapid development of intelligent transportation, more and more vehicles are
equipped with intelligent traffic sign recognition systems, which can reduce the potential …

Over the past few decades, researchers have attempted to simplify and accelerate the
process of sleep stage classification through various approaches; however, only a few such …

Abstract Background and Objective Sleep staging is an essential step for sleep disorder
diagnosis, which is time-intensive and laborious for experts to perform this work manually …

In the context of motor imagery (MI)-based brain-computer interface (BCI) systems, a great
amount of research has been studied for attaining higher classification performance by …

With the progress of human daily interaction activities and the development of industrial
society, a large amount of media data and sensor data become accessible. Humans collect …

Objective: Lesion detection with positron emission tomography (PET) imaging is critical for
tumor staging, treatment planning, and advancing novel therapies to improve patient …

For Internet information services, it is very important to closely monitor a large number of key
time series data generated by core business for anomaly detection. Although there have …