This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
—Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energ...
Ming Liu, Yuan Zheng, Jiannong Cao, Guihai Chen, L...
Coalition formation in social networks, consisting of a graph of interdependent agents, allows many choices of which task to select and with whom to partner in the social network....
Most sensor network applications require quality of service guarantees on a network-wide basis, suggesting the need for global network cost optimization. The dynamic and nonunifor...
In this paper we present the AlvisP2P IR engine, which enables efficient retrieval with multi-keyword queries from a global document collection available in a P2P network. In such...
Toan Luu, Gleb Skobeltsyn, Fabius Klemm, Maroje Pu...