A5086477516- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Advanced Chemical Sensor Technologies
- Time Series Analysis and Forecasting
- COVID-19 impact on air quality
- Impact of Light on Environment and Health
- Complex Systems and Time Series Analysis
- Statistical Methods and Applications
National University of Malaysia
2022-2024
Air quality monitoring is important in the management of environment and pollution. In this study, time series PM10 from air stations Malaysia were clustered based on similarity terms patterns. The identified clusters analyzed to gain meaningful information regarding patterns identify characterization for each cluster. data 5 July 2017 31 January 2019, obtained Malaysian Department Environment Dynamic Time Warping as dissimilarity measure used study. At same time, k-Means, Partitioning...
Malaysia often suffers from haze problems almost every year. Therefore, there is a need for good air quality forecasting model monitoring and management purposes. In this study, the based on Long Short-Term Memory Network (LSTM) Auto-Regressive Integrated Moving Average (ARIMA) was developed. The prediction of particulate matter 10 micrometres or less in diameter (PM10) could be made both models, their performance compared. purpose comparison between two models to determine most suitable use...
Air quality is often associated with the area location and activities where air in cities usually more polluted than rural areas. This study aims to pattern of time series data from stations by performing cluster analysis station based on particulate matter 10 micrometres or less diameter (PM10) 2.5 (PM2.5) data. The clusters obtained were compared category location. which uses Department Environment, Malaysia 5 July 2017 until 30 June 2019, shows five types patterns Malaysia. results also...