Machine Learning Algorithm to Predict CO2 Using a Cement Manufacturing Historic Production Variables Dataset: A Case Study at Union Bridge Plant, Heidelberg Materials, Maryland

This study uses machine learning methods to model different stages of the calcination process Hand Painted headstall and breastplate in cement, with the goal of improving knowledge of the generation of CO2 during cement manufacturing.Calcination is necessary to determine the clinker quality, energy needs, and CO2 emissions in a cement-producing fac

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