In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
The paper presents an approach to process scheduling for embedded systems. Target architectures consist of several processors and ASICs connected by shared busses. We have develop...
Petru Eles, Krzysztof Kuchcinski, Zebo Peng, Alexa...
Abstract. Social software is known to stimulate the exchange and sharing of information among peers. This paper describes how an existing system that supports process builders in c...
Abstract: This paper describes a Java-based framework for developing componentbased software systems supporting adaptation with logic laws and considering component interactions as...
Enrico Oliva, Antonio Natali, Alessandro Ricci, Mi...
Speech repairs occur often in spontaneous spoken dialogues. The ability to detect and correct those repairs is necessary for any spoken language system. We present a framework to ...