The researchers investigated how to reduce harmful emissions from a large coal-fired boiler by studying factors like coal type, air distribution, and burner style. They used artificial neural networks to create a model that can predict emissions and unburned carbon levels under different conditions. The model can help operators find the best settings for low emissions.