The research on theoretical techniques and practical applications of vehicle speed
prediction holds significant importance in mitigating the increasingly pressing traffic issues …

Precise real-time traffic flow prediction is crucial for route guidance and traffic fine control.
With the development of autonomous driving, the mixed traffic flow state composed of …

In the era of big data, traffic prediction, along with deep learning, has gained attention in
previous years. Urban planners have long been concerned by the constant challenges of …

A smooth traffic flow is very crucial for an intelligent traffic system. Consequently, traffic
forecasting is critical in achieving unwrinkled traffic flow. However, due to its spatial and …

Multistep traffic speed prediction plays a crucial role in alleviating road congestion and
improving transport efficiency. In actual traffic networks, the spatio-temporal dependence …

While the increased availability of traffic data is allowing us to better understand urban
mobility, research on data-driven and predictive modeling is also providing new methods for …

显著性目标检测是自主寻找图像视频中最具显著性物体的过程. 针对目前常见的尺度变化和背景
误判等问题, 现有的显著性目标检测方法主要从特征融合, 注意力机制和深度监督等角度进行 …

This book gathers selected high-quality research papers presented at the Second
International Conference on Intelligent System (ICIS 2023), organized by Industrial …

Communication and control over their environment have been made possible by brain-
computer interface (BCI) for individuals with disabilities and neurological disorders …