[HTML][HTML] An overview of methods of fine and ultrafine particle collection for physicochemical characterisation and toxicity assessments
Particulate matter (PM) is a crucial health risk factor for respiratory and cardiovascular
diseases. The smaller size fractions,≤ 2.5 μm (PM 2.5; fine particles) and≤ 0.1 μm (PM 0.1; …
diseases. The smaller size fractions,≤ 2.5 μm (PM 2.5; fine particles) and≤ 0.1 μm (PM 0.1; …
Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
Abstract In East Asia, air quality has been recognized as an important public health problem.
In particular, the surface concentrations of air pollutants are closely related to human life …
In particular, the surface concentrations of air pollutants are closely related to human life …
An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
G Mitrentsis, H Lens - Applied Energy, 2022 - Elsevier
PV power forecasting models are predominantly based on machine learning algorithms
which do not provide any insight into or explanation about their predictions (black boxes) …
which do not provide any insight into or explanation about their predictions (black boxes) …
Prediction of short-term ultrafine particle exposures using real-time street-level images paired with air quality measurements
Within-city ultrafine particle (UFP) concentrations vary sharply since they are influenced by
various factors. We developed prediction models for short-term UFP exposures using street …
various factors. We developed prediction models for short-term UFP exposures using street …
The impacts of road traffic on urban air quality in Jinan based GWR and remote sensing
Q Wang, H Feng, H Feng, Y Yu, J Li, E Ning - Scientific reports, 2021 - nature.com
Traffic congestion and smog are hot topics in recent years. This study analyzes the impacts
of road traffic characteristic parameters on urban air quality quantitatively based on aerosol …
of road traffic characteristic parameters on urban air quality quantitatively based on aerosol …
Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid
Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced
information on its concentration in the air can help to monitor and control further …
information on its concentration in the air can help to monitor and control further …
Unveiling the relevance of traffic enforcement cameras on the severity of vehicle–pedestrian collisions in an urban environment with machine learning models
J Pineda-Jaramillo, H Barrera-Jiménez… - Journal of safety …, 2022 - Elsevier
Purpose: One of the leading causes of violent fatalities around the world is road traffic
collisions, and pedestrians are among the most vulnerable road users with respect to such …
collisions, and pedestrians are among the most vulnerable road users with respect to such …
Explainable deep learning predictions for illness risk of mental disorders in Nanjing, China
C Wang, L Feng, Y Qi - Environmental Research, 2021 - Elsevier
Epidemiological studies have revealed the associations of air pollutants and meteorological
factors with a range of mental health conditions. However, little is known about local …
factors with a range of mental health conditions. However, little is known about local …
Assessing the performance of gradient-boosting models for predicting the travel mode choice using household survey data
J Pineda-Jaramillo… - Journal of Urban Planning …, 2022 - ascelibrary.org
The importance of analyzing travel mode choice to understand travel behavior in urban
areas is crucial in the formulation of mobility policies, especially considering the growing …
areas is crucial in the formulation of mobility policies, especially considering the growing …
Attention-based global and local spatial-temporal graph convolutional network for vehicle emission prediction
X Fei, Q Ling - Neurocomputing, 2023 - Elsevier
Nowadays the number of vehicles is increasing day by day and vehicle emission becomes a
major pollution source. To wisely control vehicle emission, accurate vehicle emission …
major pollution source. To wisely control vehicle emission, accurate vehicle emission …