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Prediction of air quality index using machine learning methods
(2022) Brylliantova, A.
The issues of relevance of monitoring air quality indicators are discussed in theses. A description of the algorithm for performing short-term forecasts based on time series and values of air pollution is given. The conclusion describes the indicators and data against which the algorithm was evaluated.