https://syksignaling.com/index.....php/fresh-as-well-a
In this paper, we suggest an attention-based synchronous community (APNet), that could draw out short-term and long-lasting temporal features simultaneously based on the attention-based CNN-LSTM multilayer framework to anticipate PM2.5 focus in the next 72 h. Firstly, the most Information Coefficient (MIC) is designed for spatiotemporal correlation analysis, fully considering the linearity, non-linearity and non-functionality between your data of each and every tracking place.
Like
Comment
Share
