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Shenghong Qin, Laixian Peng, Renhui Xu, Xianglin Wei, Xingchen Wei and Dan Jiang
Maintaining high system performance is critical for a multi-hop flying mesh network (FlyMesh) to perform missions in different environments. Although the Poisson point process (PPP) has been widely used for the performance analysis of FlyMesh, it still h...
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Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai and Haiying Zhang
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart...
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Xingchen Zhou, Ming Xu, Yiming Wu and Ning Zheng
Federated learning is a novel distributed learning framework, which enables thousands of participants to collaboratively construct a deep learning model. In order to protect confidentiality of the training data, the shared information between server and ...
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