Trend and Interrelationship of PM2.5, Gaseous Pollutants and Meteorological Factors in Kuala Terengganu, Malaysia
Nurul Ain Ismail(Universiti Malaysia Terengganu), Marzuki Ismail(Universiti Malaysia Terengganu), Ali Najah Ahmed(Sunway University), Amalina Abu Mansor(Universiti Malaysia Terengganu), Samsuri Abdullah(Universiti Malaysia Terengganu), Aimi Nursyahirah Ahmad(Universiti Malaysia Terengganu)
Cited by 1
Related Papers
Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm
|Journal of Hydrology|2019|254
Air quality status during 2020 Malaysia Movement Control Order (MCO) due to 2019 novel coronavirus (2019-nCoV) pandemic
|The Science of The Total Environment|2020|225
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
|Scientific Reports|2021|130
A systematic literature review of deep learning neural network for time series air quality forecasting
|Environmental Science and Pollution Research|2021|128
Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
|Engineering Applications of Computational Fluid Mechanics|2020|113