Missing values are prevalent in spatio-temporal traffic data, undermining the quality of data-
driven analysis. While prior works have demonstrated the promise of tensor completion …

Cyber security has always been an important issue in the Internet of Everything topic. In the
physical layer of the Internet, specific emitter identification (SEI) technology is widely …

As the number of substations continues to increase globally and the market demand
continues to rise, the current workload of maintenance and daily operation of substations in …

We present a methodology of cooperative driving in vehicular traffic, in which for short-time
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …

Spiking neural P systems are a class of distributed parallel neural-like computational models
inspired by the mechanism of spiking neurons. Traffic prediction is a kind of spatiotemporal …

With the acquisition of large-scale remote sensing data and the development of deep
learning, convolutional neural networks have achieved great progress in scene clas …