Predicting of air pollutant concentrations based on spatio-temporal attention convolutional LSTM networks.
Peng JiangIgor V. BychkovJun LiuAlexei E. HmelnovPublished in: AICTS (2020)
Keyphrases
- spatio temporal
- air pollution
- social networks
- image sequences
- spatial and temporal
- information transfer
- complex networks
- spatial temporal
- recurrent neural networks
- spatio temporal patterns
- network design
- network architecture
- network analysis
- computer networks
- moving objects
- human motion
- data sets
- visual attention
- focus of attention
- power generation
- graphical models
- neural network