WHITE SHARK OPTIMIZER WITH OPTIMAL DEEP LEARNING BASED EFFECTIVE UNMANNED AERIAL VEHICLES COMMUNICATION AND SCENE CLASSIFICATION

White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification

Abstract Unmanned aerial vehicles (UAVs) become a promising enabler for the next generation of wireless networks with the tremendous growth in electronics and communications.The application of UAV communications comprises messages relying on coverage extension for transmission networks after disasters, Internet of Things (IoT) devices, and dispatch

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Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images

Carotid artery stenosis (CAS) is one of the major causes of cerebral ischemic stroke.Rapid and precise detection of CAS is crucial for early intervention and reducing ischemic stroke incidence.Neuroimaging techniques, as the gold standard for evaluating cerebral abnormalities in CAS, suffer from limitations including expensive and time-consuming, h

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