Aug 16, 2022 ¡¤ ArticlePDF Available. Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City.
3. Wooseop Lee, 2021, Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City, The Korea ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City. Article. Full-text available. Jun ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City ¡¤ Woo-Seop Lee,Hyungkyoo Kim. The ...
Jul 31, 2024 ¡¤ The CNN-LSTM model is the most accurate monthly extreme minimum atmospheric temperature forecast that offers one step ahead based on R, RMSE and MAE ...
Missing: Wonju | Show results with:Wonju
The CNN-LSTM model showed the best performance. This CNN-LSTM method had good generalization ability and could be used to forecast average and extreme ...
Missing: Wonju | Show results with:Wonju
Jun 3, 2024 ¡¤ This paper proposes the Sequential based Spatio-Temporal Graph Convolutional Networks (SST-GCN), which combines GCN and LSTM, to predict traffic ...
Spatiotemporal air and land surface temperature (LST) characteristics were analyzed based on urban spatial patterns for Changwon City, South Korea.
Missing: LSTM GRU: Wonju
Jun 19, 2023 ¡¤ In this work, we extend the LRP technique to a sequence-to-sequence neural network model with GRU layers.
Missing: Wonju | Show results with:Wonju
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