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Original Articles

Realising emergent image preprocessing tasks in cellular-automaton-alike massively parallel hardware

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Pages 79-89 | Received 01 Jun 2006, Accepted 01 Oct 2006, Published online: 22 Dec 2006

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Prodromos Chatziagorakis & Georgios Ch. Sirakoulis. (2016) Cellular automata simulation of saltwater intrusion in coastal aquifer. International Journal of Parallel, Emergent and Distributed Systems 31:6, pages 517-528.
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Articles from other publishers (8)

Dietmar Fey, Marc Reichenbach, Marcus Komann & Ralf Seidler. (2012) Realizing real-time centroid detection of multiple objects with marching pixels algorithms on programmable customizing hardware. Concurrency and Computation: Practice and Experience 24:16, pages 1821-1839.
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Marc Reichenbach, Michael Schmidt & Dietmar Fey. (2011) Analytical Model for the Optimization of Self-Organizing Image Processing Systems Utilizing Cellular Automata. Analytical Model for the Optimization of Self-Organizing Image Processing Systems Utilizing Cellular Automata.
Michael Schmidt & Dietmar Fey. (2010) An Optimized FPGA Implementation for a Parallel Path Planning Algorithm Based on Marching Pixels. An Optimized FPGA Implementation for a Parallel Path Planning Algorithm Based on Marching Pixels.
Dietmar Fey, Marcus Komann, Marc Reichenbach & Ralf Seidler. (2010) Realizing Real-Time Centroid Detection of Multiple Objects with Marching Pixels Algorithms. Realizing Real-Time Centroid Detection of Multiple Objects with Marching Pixels Algorithms.
Marcus Komann, Frank Taubert & Dietmar Fey. (2014) On the Usefulness of Detecting Soft Errors in Parallel Pipelines for High-Speed Machine Vision Based on Organic Computing. FERS-Mitteilungen 28:1, pages 47-52.
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Marcus Komann & Dietmar Fey. 2010. Applications of Evolutionary Computation. Applications of Evolutionary Computation 31 40 .
Marcus Komann, Patrick Ediger, Dietmar Fey & Rolf Hoffmann. 2009. Genetic Programming. Genetic Programming 280 291 .
Marcus Komann, Andreas Mainka & Dietmar Fey. 2007. Parallel Computing Technologies. Parallel Computing Technologies 432 441 .

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