A temporal diffusion model enables adaptive selection of focused ultrasound transmits, outperforming random subsampling and diverging waves on EchoNet-Dynamic and in-house echocardiogram datasets while supporting real-time operation.
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A MARL framework lets robot teams optimize monitoring accuracy for dynamic indoor human activities via decentralized policies that handle variable human counts and time dependencies, outperforming coverage baselines in simulations.
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Patient-Adaptive Echocardiography using Cognitive Ultrasound
A temporal diffusion model enables adaptive selection of focused ultrasound transmits, outperforming random subsampling and diverging waves on EchoNet-Dynamic and in-house echocardiogram datasets while supporting real-time operation.
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Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
A MARL framework lets robot teams optimize monitoring accuracy for dynamic indoor human activities via decentralized policies that handle variable human counts and time dependencies, outperforming coverage baselines in simulations.