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Using deep learning to extend the range of air pollution monitoring and forecasting.
Philipp Haehnel
Jakub Marecek
Julien Monteil
Fearghal O'Donncha
Published in:
J. Comput. Phys. (2020)
Keyphrases
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deep learning
air pollution
air quality
unsupervised learning
monitoring system
machine learning
unsupervised feature learning
mental models
weakly supervised
deep architectures
image data
learning algorithm
image processing
active learning
traffic flow