Deep learning PM2.5 concentrations with bidirectional LSTM RNN

Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality

(2018) Zhongang Qi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Irregularly emitting air pollution sources: acute health risk assessment using AERMOD and the Monte Carlo approach to emission rate

(2016) B.M. Balter et al.   Air Quality Atmosphere and Health

Outdoor air pollution and health effects in urban children with moderate to severe asthma

(2015) E. Neil Schachter et al.   Air Quality Atmosphere and Health

spacetime: Spatio-Temporal Data inR

(2015) Edzer Pebesma   Journal of Statistical Software

Fast Inverse Distance Weighting-Based Spatiotemporal Interpolation: A Web-Based Application of Interpolating Daily Fine Particulate Matter PM2.5 in the Contiguous U.S. Using Parallel Programming and k-d Tree

(2014) Lixin Li et al.   International Journal of Environmental Research and Public Health

Ensemble and enhanced PM10 concentration forecast model based on stepwise regression and wavelet analysis

(2013) Yuanyuan Chen et al.   ATMOSPHERIC ENVIRONMENT

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The public health context for PM2.5 and ozone air quality trends

(2011) Neal Fann et al.   Air Quality Atmosphere and Health

A review of comparative studies of spatial interpolation methods in environmental sciences: Performance and impact factors

(2010) Jin Li et al.   Ecological Informatics

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

(2010) I Arel et al.   IEEE Computational Intelligence Magazine