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Atmospheric emissions, processes, and impacts of tropical peatland fire haze in Equatorial Asia: A review
M Kuwata - Atmospheric Environment, 2024 - Elsevier
Abstract Equatorial Asia, which includes Indonesia, Malaysia, Singapore, and Brunei,
developed coastal tropical peatlands, following the last glacial maximum. Recent human …
developed coastal tropical peatlands, following the last glacial maximum. Recent human …
Hybrid CNN-LSTM and IoT-based coal mine hazards monitoring and prediction system
IoT-enabled sensor devices and machine learning methods have played an essential role in
monitoring and forecasting mine hazards. In this paper, a prediction model has been …
monitoring and forecasting mine hazards. In this paper, a prediction model has been …
Spatial assessment of air quality patterns in Malaysia using multivariate analysis
This study aims to investigate possible sources of air pollutants and the spatial patterns
within the eight selected Malaysian air monitoring stations based on a two-year database …
within the eight selected Malaysian air monitoring stations based on a two-year database …
Prediction of the level of air pollution using principal component analysis and artificial neural network techniques: A case study in Malaysia
This study focused on the pattern recognition of Malaysian air quality based on the data
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …
obtained from the Malaysian Department of Environment (DOE). Eight air quality parameters …
Seasonal variability of PM2.5 composition and sources in the Klang Valley urban-industrial environment
This study investigates the fine particulate matter (PM 2.5) variability in the Klang Valley
urban-industrial environment. In total, 94 daily PM 2.5 samples were collected during a 1 …
urban-industrial environment. In total, 94 daily PM 2.5 samples were collected during a 1 …
Spatial assessment of PM10 hotspots using random forest, K-nearest neighbour and Naïve Bayes
Spatial modelling and analysis can assist in improving the decision-making process of
mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter …
mitigating bad air quality. One of Malaysia's most harmful air pollutants is particulate matter …
Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA)
Future PM 10 concentration prediction is very important because it can help local authorities
to enact preventative measures to reduce the impact of air pollution. The aims of this study …
to enact preventative measures to reduce the impact of air pollution. The aims of this study …
Improving the quantification of fine particulates (PM2. 5) concentrations in Malaysia using simplified and computationally efficient models
Air pollution assessment in urban and rural areas is really challenging due to high spatio-
temporal variability of aerosols and pollutants and the uncertainties in measurements and …
temporal variability of aerosols and pollutants and the uncertainties in measurements and …
Spatial assessment of land use impact on air quality in mega urban regions, Malaysia
This study aims to determine the impact of land use changes on air quality at the largest
conurbation area in Malaysia, Kuala Lumpur Extended Mega Urban Regions (KLEMUR) …
conurbation area in Malaysia, Kuala Lumpur Extended Mega Urban Regions (KLEMUR) …
An internet of things system for underground mine air quality pollutant prediction based on azure machine learning
BW Jo, RMA Khan - Sensors, 2018 - mdpi.com
The implementation of wireless sensor networks (WSNs) for monitoring the complex,
dynamic, and harsh environment of underground coal mines (UCMs) is sought around the …
dynamic, and harsh environment of underground coal mines (UCMs) is sought around the …