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- W1890251042 abstract "In this paper, we describe a cellular automata model for predicting biological spatiotemporal dynamics in an imagery data flow. The Bayesian probability-based algorithm is used to estimate the algal formation in a two-dimensional space. The dynamics of the cellular artificial life is described with diffusion, transport, collision and deformation. We tested the model with the historical data, including parameters, such as time, position and temperature." @default.
- W1890251042 created "2016-06-24" @default.
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- W1890251042 date "2006-01-01" @default.
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- W1890251042 title "Spatiotemporal Data Mining with Cellular Automata" @default.
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- W1890251042 doi "https://doi.org/10.1007/11758501_158" @default.
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