A practical framework for predicting residential indoor PM2.5 concentration using land-use regression and machine learning methods

Title
A practical framework for predicting residential indoor PM2.5 concentration using land-use regression and machine learning methods
Authors
Keywords
Indoor air, PM, 2.5, Households, Prediction model, Random forest
Journal
CHEMOSPHERE
Volume 265, Issue -, Pages 129140
Publisher
Elsevier BV
Online
2020-12-02
DOI
10.1016/j.chemosphere.2020.129140

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