Multi-agent systems comprise multiple, deliberative agents embedded in and recreating patterns of interactions. Each agent’s execution consumes considerable storage and calculat...
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
Abstract. Mashups are defined to be lightweight Web applications aggregating data from different Web services, built using ad-hoc composition and being not concerned with long term...
In this paper we present the results of applying data mining techniques to identify patterns and anomalies in air traffic control operational errors (OEs). Reducing the OE rate is ...
Abstract. We propose a framework for intrusion detection that is based on runtime monitoring of temporal logic specifications. We specify intrusion patterns as formulas in an expre...