New paper published!
Our latest manuscript, entitled Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations Across Malaysia, has been published in the Journal of Applied Sciences.
The manuscript is based on a thesis written by Nurul Amalin Fatihah Kamarul Zaman from Prof Kasturi Kanniah group at Universiti Teknologi Malaysia.
This is the first study conducted in Malaysia for PM2.5 estimations at a national scale combining satellite aerosol retrievals with ground-based pollutants, meteorological factors and ML techniques. The satisfactory prediction of PM2.5 concentrations across Malaysia allows continuous monitoring of the pollution levels at remote areas with the absence of measurement networks.
Zaman, N.A.F.K.; Kanniah, K.D.; Kaskaoutis, D.G.; Latif, M.T. Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia. Appl. Sci. 2021, 11, 7326. https://doi.org/10.3390/app11167326
