pattern recognition with cellular automata models
Pattern recognition with cellular automata models is the process of using computational systems, known as cellular automata, to identify and detect regularities or patterns within a given dataset. These automata simulate complex behavior of simple units, allowing for the recognition of repeating structures or predictable sequences, potentially aiding in various fields such as image analysis, signal processing, or anomaly detection.
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