Mechanical ventilation (MV) is essential in intensive care units (ICUs), yet conventional protocols lack personalization and risk harmful over- or under-ventilation. Offline reinforcement learning (ORL) enables policy optimization from retrospective clinical data without unsafe online interaction, but existing methods...
Hui-Dong Liu, Hang Yu, Qiyang Zhang et al.· Proceedings of the Thirty-Fi...· 0 citations
WA-TD3 is introduced, a data-driven control framework that enables real-time wind disturbance perception and adaptive compensation without dedicated wind sensors, and consistently outperforms state-of-the-art methods on tracking accuracy under strong winds.
Hui-Dong Liu, Jia-Rui Dou, Jiang-Shan Ai et al.· Proceedings of the Thirty-Fi...· 0 citations
This work proposes a lightweight spiking neural network (SNN)-based event-image fusion network (Spike-EIFNet) that leverages the complementary strengths of multimodal fusion and energy-efficient spike-driven computation, and significantly reduces energy consumption.
Siyu Chen, Qie Liu, Xianlei Long et al.· IEEE Transactions on Neural...· 0 citations
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