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Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula
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BSC creates a pioneering method using artificial intelligence to combat air pollution in urban areas
Scientists at the Barcelona Supercomputing Center use machine learning techniques to obtain air quality maps and predict the probability of exceeding legal air ...
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La Vanguardia
Crean un método con inteligencia artificial para combatir la polución urbana.
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Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0
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The effectiveness of COVID-19 vaccines against severe cases and deaths in Brazil from 2021 to 2022: a registry-based study
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The association of COVID-19 incidence with temperature, humidity, and UV radiation – A global multi-city analysis
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