Machine learning approach to forecasting urban pollution
This work addresses the question of how to predict fine particulate matter given a combination of weather conditions. A compilation of several years of meteorological data in the city of Quito, Ecuador, are used to build models using a machine learning approach. The study presents a decision tree al...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Acesso em linha: | https://ieeexplore.ieee.org/document/7750810 https://hdl.handle.net/20.500.14809/3522 |
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