Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Structured, spatial-temporal data arises in many applications areas such as transportation, sensor networks or mobile services. Peer to peer networks are the natural choice for th...
Abstract. High performance computing has become a key step to introduce computer tools, like real-time registration, in the medical field. To achieve real-time processing, one usua...
—Allocating resources for multimedia traffic flows with real-time performance requirements is an important challenge for future packet networks. However, in large-scale networks,...
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...