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PDF) Artificial Intelligence Technologies for Forecasting Air Pollution and Human Health: A Narrative Review
Air quality forecasting using artificial neural networks with real time dynamic error correction in highly polluted regions - ScienceDirect
Changes in Air Quality from the COVID to the Post-COVID Era in the Beijing-Tianjin-Tangshan Region in China - Aerosol and Air Quality Research
Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information - Aerosol and Air Quality Research
Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions - Aerosol and Air Quality Research
Machine learning algorithms to forecast air quality: a survey
Air Pollution Modeling - Aerosol and Air Quality Research
Workflow for predicting the concentration of PM2.5 using the recurrent
Alin Pohoata: Multiple characterizations of urban air pollution time series using a wavelet feedforward neural network integrative approach
Air pollution prediction by using an artificial neural network model
Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions - Aerosol and Air Quality Research
Air quality forecasting using artificial neural networks with real time dynamic error correction in highly polluted regions - ScienceDirect
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