The use of heterogeneous deep neural network system in radio tomography to detect people indoors-Reference-Cited by-同舟云学术

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The use of heterogeneous deep neural network system in radio tomography to detect people indoors

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
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Author:

Kłosowski Grzegorz¹,Rymarczyk Tomasz²,Adamkiewicz Przemysław²,Styła Michał³

Affiliation:

1. Lublin University of Technology, Lublin, Poland

2. University of Economics and Innovation in Lublin, Lublin, Poland

3. Information Technology Research and Development Center, Rzeszów, Poland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3495243.3558262

Reference8 articles.

1. A LIGHTWEIGHT ROBUST INDOOR RADIO TOMOGRAPHIC IMAGING METHOD IN WIRELESS SENSOR NETWORKS

2. Generative model based attenuation image recovery for device-free localization with radio tomographic imaging

3. Enhanced radio tomographic imaging with heterogeneous Bayesian compressive sensing

4. 2007. Survey of wireless indoor positioning techniques and systems;Liu Hui;IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews.

5. Object detection using radio imaging tomography and tomographic sensors

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings;Energies;2022-12-27

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