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cs.LG2023
Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides
Lianfa Li, Roxana Khalili, Frederick Lurmann +12
Atmospheric nitrogen oxides (NOx) primarily from fuel combustion have recognized acute and chronic health and environmental effects. Machine learning (ML) methods have significantl…
cs.LG2018★ 7 cited
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
Lianfa Li, Ying Fang, Jun Wu +1
To have a superior generalization, a deep learning neural network often involves a large size of training sample. With increase of hidden layers in order to increase learning abili…