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A paper published by LyRIDS professors is selected to figure as the cover issue on Journal of Sensor and Actuator Networks (JSAN) The paper intitled “A Multi-Agent Intrusion Detection System Optimized by a Deep Reinforcement Learning Approach with a Dataset Enlarged Using a Generative Model to Reduce the Bias Effect” was recently published on JSAN…