Traditional sensor network deployments consisted of fixed infrastructures and were relatively small in size. More and more, we see the deployment of ad-hoc sensor networks with h...
Martin F. O'Connor, Vincent Andrieu, Mark Roantree
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
Recently many researchers have focused on management of historical trajectories of moving objects due to numerous size of accumulated data over time. However, most of them are conc...
Kyoung-Sook Kim, Mario A. Lopez, Scott T. Leuteneg...
In this note we introduce a new methodology that combines tools from social language processing and network analysis to identify socially situated relationships between individual...
Andrew J. Scholand, Yla R. Tausczik, James W. Penn...
The concurrent growth of on-line communities exhibiting large-scale social structure, and of large decentralized peer-to-peer file-sharing systems, has stimulated new interest in...