AIMC Topic: Air Pollutants
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Machine learning-based quantification and separation of emissions and meteorological effects on PM in Greater Bangkok.
Scientific reports
Apr 28, 2025
This study presents the first-ever application of machine learning (ML)-based meteorological normalization and Shapley additive explanations (SHAP) analysis to quantify, separate, and understand the effect of meteorology on PM over Greater Bangkok (G...
Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling.
Environment international
Apr 26, 2025
Air quality is crucial for both public health and environmental sustainability. An efficient and cost-effective model is essential for accurate air quality predictions and proactive pollution control. However, existing research primarily focuses on s...
Effect of pregnancy and infancy exposure to outdoor particulate matter (PM, PM, PM) and SO on childhood pneumonia in preschool children in Taiyuan City, China.
Environmental pollution (Barking, Essex : 1987)
Apr 24, 2025
There is currently a paucity of research on the effects of early life exposure to particulate matter (PM) of various size fractions on pneumonia in preschool-aged children. We explored the connections between antenatal and postnatal exposure to atmos...
Temporally boosting neural network for improving dynamic prediction of PM concentration with changing and unbalanced distribution.
Journal of environmental management
Apr 22, 2025
Increasing medical research evidence suggests that even low PM concentrations may trigger significant health issues. Hence, an accurate prediction of PM holds immense significance in securing public health safety. However, current data-drive predicti...
Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data.
The Science of the total environment
Apr 16, 2025
As public awareness of environmental and health issues grows, providing accurate and accessible environmental risk information is essential for informed decision-making. Environmental indices simplify the complex impacts of various environmental fact...
A method for delineating traffic low emission control zone based on deep learning and multi-objective optimization.
Environmental monitoring and assessment
Apr 8, 2025
Current methods for defining traffic low emission control zones (TLEZ) often face limitations that hinder their widespread implementation and effectiveness. This study addresses these challenges by employing a comprehensive approach to analyze PM con...
Spatiotemporal evolution and risk thresholds of PM components in China from the human health perspective.
Environmental pollution (Barking, Essex : 1987)
Apr 2, 2025
PM is a significant global public health hazard, with its components closely linked to various fatal diseases, thereby significantly increasing mortality rates. This study analysed the spatiotemporal evolution of PM-related mortality and death rates ...
Forecasting the concentration of the components of the particulate matter in Poland using neural networks.
Environmental science and pollution research international
Mar 21, 2025
Air pollution is a significant global challenge with profound impacts on human health and the environment. Elevated concentrations of various air pollutants contribute to numerous premature deaths each year. In Europe, and particularly in Poland, air...
Automatic pre-screening of outdoor airborne microplastics in micrographs using deep learning.
Environmental pollution (Barking, Essex : 1987)
Mar 14, 2025
Airborne microplastics (AMPs) are prevalent in both indoor and outdoor environments, posing potential health risks to humans. Automating the process of identifying potential particles in micrographs can significantly enhance the research and monitori...
PM concentration prediction using machine learning algorithms: an approach to virtual monitoring stations.
Scientific reports
Mar 8, 2025
One of the most important pollutants is PM, which is particularly important to monitor pollutant levels to keep the pollutant concentration under control. In this research, an attempt has been made to predict the concentrations of PM using four Machi...
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