most citedA Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

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cs.LG2021★ 4 cited

A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks

Hsing-Chung Chen, Karisma Trinanda Putra, Jerry Chun-WeiLin

The spread of PM2.5 pollutants that endanger health is difficult to predict because it involves many atmospheric variables. These micron particles can spread rapidly from their sou…