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pro vyhledávání: '"Yi, Zhaoguang"'
Autor:
Yi, Zhaoguang, Wen, Xiangyu, Xia, Qiyue, Li, Peize, Zampella, Francisco, Alsehly, Firas, Lu, Chris Xiaoxuan
Indoor Positioning Systems (IPS) traditionally rely on odometry and building infrastructures like WiFi, often supplemented by building floor plans for increased accuracy. However, the limitation of floor plans in terms of availability and timeliness
Externí odkaz:
http://arxiv.org/abs/2311.10601
Publikováno v:
Proceedings of the International Conference of Bioelectromagnetism, Electrical Bioimpedance, and Electrical Impedance Tomography. June 28 to July 1, 2022 Kyung Hee University, Seoul, Korea
Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are dire
Externí odkaz:
http://arxiv.org/abs/2208.14449
Publikováno v:
Journal of Donghua University (English Edition); Oct2020, Vol. 37 Issue 5, p406-410, 5p
Akademický článek
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