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

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Detaylı Bibliyografya
Yayımlandı:	International Journal of Advanced Computer Science and Applications vol. 16, no. 2 (2025)
Yazar:	PDF
Baskı/Yayın Bilgisi:	Science and Information (SAI) Organization Limited
Konular:	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 Erişim:	Citation/Abstract Full Text - PDF
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