RESEARCHarXiv CS.LG·4/23/2026
A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
This study develops a machine learning framework to predict, forecast, and control NOx emissions in cement manufacturing, a major source of industrial air pollution. The framework utilizes large-scale operational data from multiple plants, significantly improving prediction accuracy and enabling proactive operational adjustments to mitigate pollution.
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