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DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming
This paper investigates a deep reinforcement learning (DRL)-based approach for managing channel access in wireless networks.
Integration of Data Driven Technologies in Smart Grids for Resilient and Sustainable Smart Cities: A Comprehensive Review
In addition, the impact of disasters on the power system infrastructure is investigated and different types of optimization techniques that can be used to sustain the power flow in the network during disturbances are compared and analyzed.
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