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A LSTM-EGAN framework for forecasting land surface temperature in urban areas based on time-series datasets
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DOI：10.1016/j.scs.2026.107780.png)
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Abstract
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• Machine learning translates urban land use time series maps into LST maps. • LSTM-EGAN model predicted based on different scenarios. • A software with a user interface has been developed based on LSTM-EGAN.
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