Titlebook: Smart Cities: Importance of Management and Innovations for Sustainable Development; Towards Mobility, In Dagmar Cagáňová,Michal Cehlár,Natá

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Air Quality Improvement Based on the Application of Emission Monitoring System with Triangulationma should be avoided for basic triangulation methods (large data skewness), or rely on more complex triangulation methods (Kringing, Radial Basic Function Interpolation) should be used. In conclusion, the chapter demonstrated a large potential in applying dispersion models taking into account the ci

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Machine Learning Regression Model in MATLAB for Predicting Gas Emissions During the Pellet Combustioand use of this waste. Gas emissions were measured by a flue gas analyzer in the chimney of a small heat source. Other quantities such as temperature, pressure, and airflow were recorded and used as input data in the model. This tool allows emissions to be predicted without their measurements during

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