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- W2547609913 abstract "In recent years, the city of Salamanca has been catalogued as one of the most polluted cities in Mexico. Sulphur Dioxide (SO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> ) and Particulate Matter less than 10 microns in diameter (PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>10</sub> ) are considered the most important atmospheric pollutants in this zone. In this work we apply smoothing exponential techniques to predict the air pollution concentrations in Salamanca. A database used to find the best smoothing and trend parameters (¿, ¿) corresponds to historical time series. The performance estimation is determined using the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE)." @default.
- W2547609913 created "2016-11-11" @default.
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- W2547609913 date "2009-11-01" @default.
- W2547609913 modified "2023-09-23" @default.
- W2547609913 title "Smoothing exponential techniques applied for pollutant concentration prediction" @default.
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- W2547609913 doi "https://doi.org/10.1109/iecon.2009.5415394" @default.
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