Abstract: With the continuous evolution of network attack methods, traditional Intrusion Detection Systems (IDS) face increasing challenges. To improve the accuracy and responsiveness of IDS, this ...
Abstract: Urban intersections face persistent challenges due to traffic congestion, which affects travel efficiency and increases delays. This study presents a Deep Reinforcement Learning (DRL)-based ...
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