Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
Abstract—Scalability is a real challenge for network management due to the increase of the devices to be managed and their various locations. A potential solution is based on bot...
Pervasive computing is an emerging computing paradigm, which is expected to be part of our everyday life in the foreseeable future. The coordination among heterogeneous devices, s...
Physics-based animation programs can often be modeled in terms of hybrid automata. A hybrid automaton includes both discrete and continuous dynamical variables. The discrete varia...
Service discovery in mobile ad hoc networks (MANETs) is an integral part for collective application interoperability. The discovery process must cope not only with transient commun...
Andronikos Nedos, Kulpreet Singh, Raymond Cunningh...