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

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Detalles Bibliográficos
Publicado en:	International Journal of Advanced Computer Science and Applications vol. 16, no. 2 (2025)
Autor Principal:	PDF
Publicado:	Science and Information (SAI) Organization Limited
Materias:	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
Acceso en liña:	Citation/Abstract Full Text - PDF
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