A novel detection algorithm spotted moderate-to-severe aortic stenosis (AS) with a sensitivity of 90.5% of all patients and ...
Abstract: This paper introduces a novel framework that bridges advanced reinforcement learning (RL) with traditional PID control by converting model-based RL policies into interpretable PID gains. By ...
Abstract: This paper presents a multi-objective optimization approach using Genetic Algorithms (GAs) to address the Airport Check-In Counter Allocation problem. A hybrid model balancing operational ...
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