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» Computing with Probabilistic Cellular Automata
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IJCNN
2006
IEEE
14 years 2 months ago
Small-catchment flood forecasting and drainage network extraction using computational intelligence
— Forecast, detection and warning of severe weather and related hydro-geological risks is becoming one of the major issues for civil protection. The use of computational intellig...
Erika Coppola, Barbara Tomassetti, Marco Verdecchi...
FOSSACS
2003
Springer
14 years 1 months ago
Model Checking Lossy Channels Systems Is Probably Decidable
Lossy channel systems (LCS’s) are systems of finite state automata that communicate via unreliable unbounded fifo channels. We propose a new probabilistic model for these syste...
Nathalie Bertrand, Ph. Schnoebelen
PACT
2007
Springer
14 years 2 months ago
Orthogonal Organized Finite State Machine Application to Sensor Acquired Information
The application of the Orthogonal Organized Finite State Machine (OOFSM) to the representation of data acquired by sensor networks is proposed. The OOFSM was proposed in earlier wo...
Brian J. d'Auriol, John Kim, Sungyoung Lee, Young-...
PDPTA
2010
13 years 6 months ago
Data-Parallelism and GPUs for Lattice Gas Fluid Simulations
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...
DAGSTUHL
2007
13 years 10 months ago
Programming self developing blob machines for spatial computing.
: This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
Frédéric Gruau, Christine Eisenbeis