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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 ...
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Oct 10, 2024 ¡¤ The LSTM model's learning is more accurate and reliable to predict repair and maintenance costs of apartment complex, compared to the RNN and ...
May 28, 2024 ¡¤ The LSTM-CNN model applied LSTM to reflect temporal characteristics but only used information from a single road for predictions, failing to ...
... model and/or data interface,"6.2 km^2 Manuel Bayou, 6.7 km^2 Weekley Bayou and 6.8 km^2 Long Bayou, located in the Wolf-Perdido Bay System in far southern ...
Jun 3, 2024 ¡¤ Specifically, LSTM is effective in capturing temporal dependencies based on previous traffic conditions, weather conditions, and other data, ...
This study used daily data for five years in predicting PM 2.5 concentrations in eight Korean cities through deep learning models.