Evaluation of machine learning models for estimating pm2.5 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 PM2.5 concentrations across Malaysia using machine-learning (ML) models like Random Forest (RF) and Support Vector Regression...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95447/1/NurulAmalinFatihah2021_EvaluationofMachineLearningModels.pdf http://eprints.utm.my/id/eprint/95447/ http://dx.doi.org/10.3390/app11167326 |
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