A Comparison of Machine Learning-Based Approaches in Estimating Surface PM<sub>2.5</sub> Concentrations Focusing on Artificial Neural Networks and High Pollution Events
Surface PM<sub>2.5</sub> concentrations have significant implications for human health, necessitating accurate estimations. This study compares various machine learning models, including linear models, tree-based algorithms, and artificial neural networks (ANNs) for estimating PM<sub&...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/16/1/48 |
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