Wireless vital sign sensing extracts respiratory features from signal phase variations induced by chest movements. However, motions of other body parts produce superimposed signals, resulting in indistinguishable anomalous segments that obscure respiratory extraction. Existing approaches primarily rely on regular motio...
Ying-Ying Zhao, Tie Qiu, Ning Chen et al.· IEEE Transactions on Mobile...· 0 citations
Results indicate that minimally sufficient world representations provide an effective foundation for robust VLN, and propose BrainNav, a navigation framework grounded in the Principle of Minimal Sufficiency.
Yi-Hao Wu, Chen-Yi Xu, Li-Qi Yan et al.· arXiv.org· 0 citations
This work proposes RAVEL-FCL, a generative replay-based framework for federated continual learning that integrates an improved generative model based on Rebooting ACGAN with multi-level feature alignment to ensure consistency and employs Elastic Variational Continual Learning on the server to probabilistically regulari...
Yurui Zhou, Jia Hu, G. Min et al.· ACM Transactions on Autonomo...· 0 citations
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