AIMC Topic: Air Pollution
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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City.
Scientific reports
Feb 25, 2025
Ozone pollution affects food production, human health, and the lives of individuals. Due to rapid industrialization and urbanization, Liaocheng has experienced increasing of ozone concentration over several years. Therefore, ozone has become a major ...
High-resolution spatio-temporal estimation of street-level air pollution using mobile monitoring and machine learning.
Journal of environmental management
Feb 21, 2025
High spatio-temporal resolution street-level air pollution (SLAP) estimation is essential for urban air quality management, yet traditional methods face significant challenges in capturing the detailed spatial and temporal variability of pollution. M...
A study on the impact of meteorological and emission factors on PM concentrations based on machine learning.
Journal of environmental management
Feb 15, 2025
PM pollution, a major environmental and health concern, is influenced by a complex interplay of emission sources and meteorological conditions. Accurately identifying these factors and their contributions is essential for effective pollution manageme...
Climate change and cardiovascular risk.
Current opinion in cardiology
Feb 12, 2025
PURPOSE OF REVIEW: This review explores the complex relationship between climate change and cardiovascular health. It examines the mechanisms through which climate change impacts cardiovascular risk, highlights recent findings on regional trends, and...
Enhancing PM2.5 prediction by mitigating annual data drift using wrapped loss and neural networks.
PloS one
Feb 11, 2025
In many deep learning tasks, it is assumed that the data used in the training process is sampled from the same distribution. However, this may not be accurate for data collected from different contexts or during different periods. For instance, the t...
A Systematic Study of Popular Software Packages and AI/ML Models for Calibrating In Situ Air Quality Data: An Example with Purple Air Sensors.
Sensors (Basel, Switzerland)
Feb 9, 2025
Accurate air pollution monitoring is critical to understand and mitigate the impacts of air pollution on human health and ecosystems. Due to the limited number and geographical coverage of advanced, highly accurate sensors monitoring air pollutants, ...
Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed data.
Journal of environmental management
Feb 5, 2025
The rapid urban expansion in Dhaka, the capital of Bangladesh, has escalated air pollution levels and led to a significant decrease in green spaces. This study employed machine learning (ML) and deep learning (DL) techniques to examine the relationsh...
Predicting On-Road Air Pollution Coupling Street View Images and Machine Learning: A Quantitative Analysis of the Optimal Strategy.
Environmental science & technology
Jan 29, 2025
Integrating mobile monitoring data with street view images (SVIs) holds promise for predicting local air pollution. However, algorithms, sampling strategies, and image quality introduce extra errors due to a lack of reliable references that quantify ...
XIS-PM: A daily spatiotemporal machine-learning model for PM in the contiguous United States.
Environmental research
Jan 27, 2025
Air-pollution monitoring is sparse across most of the United States, so geostatistical models are important for reconstructing concentrations of fine particulate air pollution (PM) for use in health studies. We present XGBoost-IDW Synthesis (XIS), a ...
A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data.
Scientific reports
Jan 18, 2025
Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous disease with a variety of symptoms including, persistent coughing and mucus production, shortness of breath, wheezing, and chest tightness. As the disease advances, exacerbations, i.e. a...
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