Nada Ahmed

Earthquake magnitude estimation using an optimized CNN-DNN-GRU model with binary differential evolution and firefly algorithm

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...

Hybrid deep learning model BiLSTM–BiGRU for energy prediction using recursive feature elimination and cuckoo search

EH-SWADS: energy-harvesting smart weather-aware drone sink for agricultural WSNs

Agricultural Wireless Sensor Networks (WSNs) are increasingly required to operate over long periods under dynamic environmental conditions while relying on strictly constrained energy resources. Although hierarchical clustering and UAV-assisted mobile sinks can reduce communication overhead, the operational lifetime of...