A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM.
Tien-Cuong BuiVan-Duc LeSang-Kyun ChaPublished in: CoRR (2018)
Keyphrases
- deep learning
- air pollution
- south korea
- distributed video coding
- decoding process
- video codec
- air quality
- unsupervised learning
- united states
- error control
- machine learning
- unsupervised feature learning
- weakly supervised
- video coding
- rate distortion
- monitoring system
- recurrent neural networks
- bit rate
- wyner ziv
- knowledge management
- neural network
- motion estimation
- active learning
- training data
- image processing