R. Chen
5 Papers
1 Citations
R. Chen is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Convergence Analysis in Deterministic 3D Ray Launching Radio Channel Estimation in Complex Environments
Leire Azpilicueta,Meenakshi Rawat,Karun Rawat,Fadhel M. Ghannouchi,Francisco Falcone,Ahmed M. Kord,I. A. Eshrah,Y. An,Z. Fan,D. Ding,R. Chen,Y. Li,W. Li,W. Yu,C. Liu,J. Chen,M. Zhu,M. Y. Wang,S. Li,Xin Li,F. Liu,G. Sun,J. Wang,R. Du,R. Araneo,S. Celozzi,Nasser Ojaroudi,N. Ghadimi,Yasser Ojaroudi,Gang Zhang,Y. Dou,H. Cui,L. Y. Xiang,S. G. Zuo,L. C. He,M. H. Zhang,J. J. Hu,G. Long +37 more
- 01 Jan 2014
TL;DR: In this paper, a convergence analysis to obtain the optimal calculation parameters in an in-house 3D ray launching algorithm to model the radio wave propagation channel in complex indoor environments is presented.
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A review of magnetic sensor-based positioning techniques for capsule endoscopy
TL;DR: The research evolution of the capsule endoscope based on magnetic localization through the last 10 years is reviewed and notable problem, as well as technological challenges to overcome are described.
4
Pos-243 brg1 contributions to vascular calcification in chronic kidney disease involving autophagy of vascular smooth muscle cells
TL;DR: Wang et al. as mentioned in this paper investigated the role of Brahma related gene 1 (BRG1) in vascular calcification and measured the circulatory level of BRG1 in hemodialysis patients and assessed its correlation with known indicators of bone disease in CKD.
REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices
Y. Li,X. Qin,J. Geng,R. Chen,Y. Hou,Yonghai Gong,Mi Pan,P. Zhang +7 more
TL;DR: REW AFL introduces a novel PS utility function that jointly considers global FL training utilities and local energy utility, which integrates energy consumption and residual battery energy of candidate mobile devices and presents a residual energy and wireless aware local computing policy.