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ENTCS
2008
109views more  ENTCS 2008»
14 years 10 months ago
Spatial Networks of Hybrid I/O Automata for Modeling Excitable Tissue
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...
FSS
2008
87views more  FSS 2008»
14 years 10 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
CE
2006
161views more  CE 2006»
14 years 10 months ago
Applying an authentic, dynamic learning environment in real world business
This paper describes a dynamic computer-based business learning environment and the results from applying it in a real-world business organization. We argue for using learning too...
Timo Lainema, Sami Nurmi
CN
2006
145views more  CN 2006»
14 years 10 months ago
Understanding optimal data gathering in the energy and latency domains of a wireless sensor network
The problem of optimal data gathering in wireless sensor networks (WSNs) is addressed by means of optimization techniques. The goal of this work is to lay the foundations to devel...
Ugo Monaco, Francesca Cuomo, Tommaso Melodia, Fabi...
CORR
2006
Springer
113views Education» more  CORR 2006»
14 years 10 months ago
Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems
Abstract--In this paper, we propose a decentralized sensor network scheme capable to reach a globally optimum maximum-likelihood (ML) estimate through self-synchronization of nonli...
Sergio Barbarossa, Gesualdo Scutari
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