An Improved MOEA Based on Adaptive Adjustment Strategy for Optimizing Deep Model of RFID Indoor Positioning-Reference-Cited by-同舟云学术

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An Improved MOEA Based on Adaptive Adjustment Strategy for Optimizing Deep Model of RFID Indoor Positioning

Published:2023-05-24 Issue: Volume: Page:
ISSN:
Container-title:2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Liu Jiahui¹,Yang Lvqing¹,Chen Sien²,Dong Wensheng³,Yu Bo³,Wang Qingkai⁴

Affiliation:

1. Xiamen University,School of Informatics,Xiamen,China,361005

2. Tech Valley(Xiamen)Information Technology Co., Ltd.,Xiamen,China,361005

3. Zijin Zhixin(Xiamen)Technology Co., Ltd.,Xiamen,China,361005

4. State Key Laboratory of Process Automation in Mining & Metallurgy,Beijing,China,102600

Funder

Xiamen University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10152543/10151991/10152841.pdf?arnumber=10152841

Reference18 articles.

1. SAR-Based Indoor Localization of UHF-RFID Tags via Mobile Robot

2. An Indoor Localization Method Based on AOA and PDOA Using Virtual Stations in Multipath and NLOS Environments for Passive UHF RFID

3. Current technologies and location based services

4. Target Localization in Industrial Environment based on TOA Ranging

5. A Probabilistic Radio Map Construction Scheme for Crowdsourcing-Based Fingerprinting Localization

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