Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Our research focuses on end-to-end congestion avoidance algorithms that use round trip time (RTT) fluctuations as an indicator of the level of network congestion. The algorithms a...
While software is becoming decomposed in more and more finegrained entities, the interactions amongst those become of major importance. While methodologies for building such compon...
An explicit slice-based mode type selection scheme for use in H.264/AVC has recently been developed, which preserves the coding efficiency of H.264/AVC without requiring any modif...
Software engineering has traditionally focussed on functional requirements and how to build software that has few bugs and can be easily maintained. Most design approaches include...