首页|Study Results from Aarhus University Broaden Understanding of Machine Learning ( A Vibration-based Machine Learning Approach for Roller Gap Detection In Biomass Pellet Production)
Study Results from Aarhus University Broaden Understanding of Machine Learning ( A Vibration-based Machine Learning Approach for Roller Gap Detection In Biomass Pellet Production)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Aarhus, Denmar k, by NewsRx journalists, research stated, “This research focuseson optimising biomass pellet manufacturing processes by detecting roller gap variations in rot ary ring diepelleting (RRDP) technology. Integrating experimental testing, resp onse surface modelling (RSM), andvibration-based machine learning, this study a ims to ensure optimal conditions for biomass pellet milloperation.”
AarhusDenmarkEuropeCyborgsEmergi ng TechnologiesMachine LearningAarhus University
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