Forecasting PM2.5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

An ensemble long short-term memory neural network for hourly PM2.5 concentration forecasting

(2019) Yun Bai et al.   CHEMOSPHERE

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

(2019) Yanlin Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China

(2019) Unjin Pak et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

Air pollution-derived PM2.5 impairs mitochondrial function in healthy and chronic obstructive pulmonary diseased human bronchial epithelial cells

(2018) B. Leclercq et al.   ENVIRONMENTAL POLLUTION

Robust relationship between air quality and infant mortality in Africa

(2018) Sam Heft-Neal et al.   NATURE

Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction

(2018) Jiachen Zhao et al.   CHEMOSPHERE

Long-term air pollution exposure and cardio- respiratory mortality: a review

(2013) Gerard Hoek et al.   Environmental Health

Application of WRF/Chem-MADRID for real-time air quality forecasting over the Southeastern United States

(2011) Ming-Tung Chuang et al.   ATMOSPHERIC ENVIRONMENT

A Cohort Study of Traffic-Related Air Pollution Impacts on Birth Outcomes

(2008) Michael Brauer et al.   ENVIRONMENTAL HEALTH PERSPECTIVES