Input-Adaptive Proxy for Black Carbon as a Virtual Sensor

Input-Adaptive Proxy for Black Carbon as a Virtual Sensor

Missing data has been a challenge in air quality measurement. In this study, we develop an input-adaptive proxy, which selects input variables of other air quality variables based on their correlation coefficients with the output variable. The proxy uses ordinary least squares regression model with...

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Bibliographic Details
Main Authors: Pak Lun Fung, Martha A. Zaidan, Salla Sillanpää, Anu Kousa, Jarkko V. Niemi, Hilkka Timonen, Joel Kuula, Erkka Saukko, Krista Luoma, Tuukka Petäjä, Sasu Tarkoma, Markku Kulmala, Tareq Hussein
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Sensors
Subjects:
input-adaptive proxy
black carbon
robust linear regression
air quality
street canyon
urban background
virtual sensor
Online Access:https://www.mdpi.com/1424-8220/20/1/182

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