Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks
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Research has been conducted on using particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks. Other studies have also explored various methods for improving communication systems, including adaptive frequency-domain techniques, machine learning frameworks, and optimized algorithms. The focus of these studies appears to be on enhancing security, efficiency, and adaptability in different types of networks and systems.
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