Accurate earthquake magnitude estimation is critical for mitigating seismic hazards; however, the inherently nonlinear and dynamic characteristics of geophysical data present persistent modeling challenges. To address this complexity, this study proposes a novel hybrid deep learning framework, CNN-DNN-GRU. This archite...
The integration of RFE and Cuckoo Search enhances the model’s ability to identify relevant features and optimize hyperparameters, enabling efficient learning of complex temporal dependencies and nonlinear relationships in energy consumption data.
Nada Ahmed, Yasser Fouad, Safia Abbas et al.· Computing· 0 citations
EH-SWADS is proposed, an energy-harvesting extension of the previously proposed weather-aware UAV-assisted WSN architecture, SWADS, designed for sustainable, long-term agricultural monitoring and explicitly incorporates the harvested-to-consumed energy balance into the learning process.
Nada Ahmed, Asmaa N. Ghareeb, Yasser Fouad et al.· Scientific Reports· 0 citations
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