Hourly pollutants forecasting using a deep learning approach to obtain the AQI

DOI10.1093/JIGPAL/JZAC035OpenAlexW4214698402MaRDI QIDQ6094404

Unnamed Author, Unnamed Author, Unnamed Author, Daniel Urda, Unnamed Author

Publication date: 13 September 2023

Published in: Logic Journal of the IGPL (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/jigpal/jzac035

zbMATH Keywords

artificial neural networksmachine learningair pollution forecastingdeep learningfeature rankingexogenous variablesLSTMAQI

Mathematics Subject Classification ID

Mathematical logic and foundations (03-XX) Computer science (68-XX)

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