Applying t-Distributed Stochastic Neighbor Embedding for Improving Fingerprinting-Based Localization System-Reference-Cited by-同舟云学术

Applying t-Distributed Stochastic Neighbor Embedding for Improving Fingerprinting-Based Localization System

Published:2023-09 Issue:9 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Tarekegn Getaneh Berie¹^ORCID,Tai Li-Chia¹^ORCID,Lin Hsin-Piao²^ORCID,Tesfaw Belayneh Abebe³^ORCID,Juang Rong-Terng⁴^ORCID,Hsu Huan-Chia⁵,Huang Kai-Lun⁵^ORCID,Singh Kanishk⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan

3. Department of Electrical Engineering and Computer Science, National Taipei University of Technology, Taipei, Taiwan

4. Institute of Aerospace and System Engineering, National Taipei University of Technology, Taipei, Taiwan

5. Information and Communications Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10214959/10209169.pdf?arnumber=10209169

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4. SRCLoc: Synthetic Radio Map Construction Method for Fingerprinting Outdoor Localization in Hybrid Networks

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