Yin Zhang

TL;DR: This paper illustrates the experimental results conducted by OPNET Modeler, and shows that the solution with NDN enhances the Quality of Service (QoS) of VANET significantly.

TL;DR: A scheme of fast IAA (IAA-F) is proposed for mitigating the computational burden of scanning radar angular superresolution, and numerical results illustrate that the proposed IAA-F offers a time complexity reduction without loss of performance.

TL;DR: This paper modeled the network content as a heterogeneous information network (HIN) to achieve the automatic selection, storage and delivery of popular content in the IoV and found that this popular content caching method is more secure and effective, which can reduce the network load, improve user satisfaction and bring a higher quality of experience (QoE) and a better quality of service (QoS) to users.

TL;DR: This work proposed a novel predator–prey adaptive-inertia chaotic particle swarm optimization algorithm, which is effective in alcoholism detection and can be installed on medical robots.

TL;DR: An Multi-aspect Aware Session-based Recommendation (MASR) model for intelligent transportation services is proposed, which comprehensively considers the user’s personalized behavior from multiple aspects, and developed a concise and efficient transformer-style self-attention to analyze the sequence information of the current session.