Mutual Information Input Selector and Probabilistic Machine Learning Utilisation for Air Pollution Proxies

Mutual Information Input Selector and Probabilistic Machine Learning Utilisation for Air Pollution Proxies

An air pollutant proxy is a mathematical model that estimates an unobserved air pollutant using other measured variables. The proxy is advantageous to fill missing data in a research campaign or to substitute a real measurement for minimising the cost as well as the operators involved (i.e., virtual...

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Bibliographic Details
Main Authors: Martha A. Zaidan, Lubna Dada, Mansour A. Alghamdi, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen, Tareq Hussein
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Applied Sciences
Subjects:
air pollution
ozone proxy
mutual information
probabilistic machine learning
Online Access:https://www.mdpi.com/2076-3417/9/20/4475

Internet

https://www.mdpi.com/2076-3417/9/20/4475

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