Leilei Wang

TL;DR: A fuzzy routing-forwarding algorithm (FCNS) exploiting comprehensive node similarity (the mobile and social similarities) in opportunistic social networks is established and the suitable message delivery decision is made by collecting and comparing the transmission preference of nodes, and the sustainable and stable data transmission process is performed through the feedback mechanism.

TL;DR: A novel big medical data decision-making model exploiting fuzzy inference logic for prostate cancer in developing countries is proposed, constructing an intelligent medical system for disease detection, medical data analysis and fusion, treatment recommendations, and risk management.

TL;DR: This paper proposes an effective transmission strategy based on node socialization (ETNS), which divides nodes in the network into several different communities and involves a community reduction method that removes some inefficient nodes according to the attributes of optimal relay nodes.

TL;DR: This research proposes an effective data transmission algorithm based on social relationships (ESR), which considers the community characteristics of opportunistic mobile social networks and shows that the ESR algorithm, through community transmission, is not only faster and safer, but also has lower transmission delay and routing overhead.

TL;DR: This research established a new method for vehicle trajectory prediction (TPVN), which is mainly applied to predict the vehicle trajectory in the short term, and shows that the performance of TPVN outperforms than other classical algorithms.