RVFL-LQP: RVFL-based link quality prediction of wireless sensor networks in smart grid

X Xue, W Sun, J Wang, Q Li, G Luo, K Yu - IEEE Access, 2020 - ieeexplore.ieee.org
In the application of wireless sensor networks (WSNs) to smart grid, real-time and accurate
wireless link quality prediction (LQP) is important to determine which link is reliable enough …

Link prediction in multi-relational networks based on relational similarity

C Dai, L Chen, B Li, Y Li - Information Sciences, 2017 - Elsevier
Many real-world networks contain multiple types of interactions and relations. Link prediction
in such multi-relational networks has become an important area in network analysis. For link …

Link prediction in signed social networks: From status theory to motif families

SY Liu, J **
S Gu, L Chen, B Li, W Liu, B Chen - Applied Intelligence, 2019 - Springer
Link prediction is an essential research area in social network analysis. In recent years, link
prediction in signed networks has drawn much concentration of the researchers. To predict …

Network link prediction based on direct optimization of area under curve

C Dai, L Chen, B Li - Applied Intelligence, 2017 - Springer
With the rapid development of the Internet, high-dimensional, sparse, and redundant data
often appear in complex networks. These data require effective link prediction techniques to …

АРХИТЕКТУРА ПЕРСПЕКТИВНОГО КОМПЛЕКСА КОГНИТИВНОЙ АВИАЦИОННОЙ РАДИОСВЯЗИ

ТИ Горячева, АЕ Никишин, ИА Чеснокова… - … системы и технологии …, 2020 - elibrary.ru
Обсуждаются вопросы построения авиационных комплексов связи на базе программно
определяемого радио (SDR-Software Defined Radio), концепций когнитивного радио …