Listar INIT_Articles por fuente "International Journal of Computational Intelligence and Applications, (2022). Vol. 21, No. 02, 2250014"
Mostrando ítems 1-1 de 1
-
Comparison of Nitrogen Dioxide Predictions During a Pandemic and Non-pandemic Scenario in the City of Madrid using a Convolutional LSTM Network
World Scientific (2022-06-22)Traditionally, machine learning technologies with the methods and capabilities available, combined with a geospatial dimension, can perform predictive analyzes of air quality with greater accuracy. However, air pollution ...