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ǂA ǂmachine learning approach to predict air quality in California
Mauro Castelli, Fabiana Martins Clemente, Aleš Popovič, Sara Silva, Leonardo Vanneschi
Izvirni znanstveni članek
Oznake: informatika;ekologija;umetna inteligenca;informatics;ecology;artificial intelligence;
Predicting air quality is a complex task due to the dynamic nature, volatility, and high variability in time and space of pollutants and particulates. At the same time, being able to model, predict, and monitor air quality is becoming more and more relevant, especially in urban areas, due to the obs ...
Leto: 2020 Vir: Ekonomska fakulteta (UL EF)
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