In this paper, we propose a new analytical model for throughput evaluation of wireless network coding. This new approach is based on a probabilistic viewpoint on network coding, i....
Mohammad H. Amerimehr, Farid Ashtiani, Mohammad Ba...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
— Networked embedded systems are gaining more and more attention and their use in current network scenarios is of indisputable importance. Research community and industry are pro...
Alessio Botta, Walter de Donato, Antonio Pescap&eg...
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
Kang Li, Jian Xun Peng, Minrui Fei, Xiaoou Li, Wen...