A formal taxonomy that systematically maps deep learning architectures to blockchain functionalities and application domains, enabling structured comparison of their complementary roles in fraud detection, consensus protocol optimization, smart contract automation, scalability, and data security is proposed.
Hazem Abu-Adaiq, Mohammed Khader, Ahmad Tasnim Siddiqui et al.· Advances in Complex Systems· 0 citations
Experimental results on a realistic 5G QoS dataset demonstrate significant improvements over baseline methods, including higher throughput, lower latency, improved fairness, reduced packet loss, and enhanced energy efficiency, confirming the framework's scalability and QoS awareness.
Mohamed Loey, V. Krishna, S. Gokulakrishnan et al.· Journal of Circuits, Systems...· 0 citations
An end‐to‐end IoT‐cloud security system that is based on markov decision processes, reinforcement learning, and blockchain‐enhanced authentication in order to achieve better attack detection, false alarms, and safe device management is created.
Mohamed Loey, V. Krishna, Osama S. Younes et al.· Transactions on Emerging Tel...· 0 citations
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