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As the automation of industrial systems is becoming more and more complex, new methods are needed to further boost efficiency. Machine learning is a method where a computer learns to recognize complex patterns using large amounts of real-world data. The focus of this work is to leverage real-world industrial data from a sawmill to optimize one of the machines, the unscramblers. The unscrambler se
