Evaluation of Machine Learning Models for Estimating PM<sub>2.5</sub> Concentrations across Malaysia
Southeast Asia (SEA) is a hotspot region for atmospheric pollution and haze conditions, due to extensive forest, agricultural and peat fires. This study aims to estimate the PM<sub>2.5</sub> concentrations across Malaysia using machine-learning (ML) models like Random Forest (RF) and Sup...
Main Authors: | Nurul Amalin Fatihah Kamarul Zaman, Kasturi Devi Kanniah, Dimitris G. Kaskaoutis, Mohd Talib Latif |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/16/7326 |
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