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

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Bibliografske podrobnosti
izdano v:	International Journal of Advanced Computer Science and Applications vol. 16, no. 2 (2025)
Glavni avtor:	PDF
Izdano:	Science and Information (SAI) Organization Limited
Teme:	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 dostop:	Citation/Abstract Full Text - PDF
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