Optimizing the GRU-LSTM Hybrid Model for Air Temperature Prediction in Degraded Wetlands and Climate Change Implications

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Bibliografiske detaljer
Udgivet i:	International Journal of Advanced Computer Science and Applications vol. 16, no. 2 (2025)
Hovedforfatter:	PDF
Udgivet:	Science and Information (SAI) Organization Limited
Fag:	Indicators Climate change Memory tasks Deep learning Parameters Air temperature Wetlands Task complexity Drought Flood predictions Accuracy Datasets Computer science Time series Efficiency Statistical analysis Fourier transforms Temperature Sensors Geophysics Data collection Climate science
Online adgang:	Citation/Abstract Full Text - PDF
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