Emotion recognition using multi-modal physiological signals is an emerging field in affective
computing that significantly improves performance compared to unimodal approaches. The …

Electroencephalogram (EEG) signals have emerged as an important tool for emotion
research due to their objective reflection of real emotional states. Deep learning-based EEG …

Affective brain-computer interface is an important part of realizing emotional human–
computer interaction. However, existing objective individual differences among subjects …

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

Flight delay is one of the most severe problems faced by the aviation industry, and its
excessive impact on air transport operations and society has attracted wide attention by …

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 …

Complex network theory, in conjunction with metrics able to detect causality relationships
from time series, has recently emerged as an effective and intuitive way of studying delay …

In recent years, many EEG-based emotion recognition methods have been proposed, which
can achieve good performance on single-subject data. However, when the models are …

Constructing a scientific evaluation system of curriculum education quality is an important
content to improve the effectiveness of curriculum ideological and political education …

Bus transport, characterized by a complex network of routes and stops, frequently
experiences delays that can affect the entire system's reliability, passenger satisfaction, and …