Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia
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DOI: 10.3390/app11167326
Abstract: 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… read more here.
Keywords: across malaysia; machine learning; learning models; malaysia ... See more keywords