We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), for the efficient modeling and simulation of excitable-cell tissue. Within this f...
Ezio Bartocci, Flavio Corradini, Maria Rita Di Ber...
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Technological advancements in communication and embedded computing lead to the increasing application of decentralized structures in automation and control. The decentralization a...
— The idea of the cognitive network, drawn from previous research in cognitive radios and cross-layer design, is an attempt to address issues of complexity and scalability by all...
Ryan W. Thomas, Luiz A. DaSilva, Madhav V. Marathe...
Abstract. We study the interaction between network effects and external incentives on file sharing behavior in Peerto-Peer (P2P) networks. Many current or envisioned P2P networks r...