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Thus, this investigation seeks to improve kiln-drying procedures and create a predictive technique for determining and classifying targeted wood moisture content through the implementation of a gradient-boosted machine learning approach. Among the inputs are three wood characteristics: initial moisture, initial weight, and basic density, as well as three drying factors: schedule, conditioning, and post-storage. Moisture levels at the end are most strongly linked to the ini
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