A Single-reader Indoor Localization Method Based on Multi-objective Evolutionary Algorithm Optimization of Deep Model-Reference-Cited by-同舟云学术

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A Single-reader Indoor Localization Method Based on Multi-objective Evolutionary Algorithm Optimization of Deep Model

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
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Author:

Liu Jiahui¹,Yang Lvqing¹,Liao Minghong¹

Affiliation:

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986511/9986516/09986706.pdf?arnumber=9986706

Reference14 articles.

1. PRDL: Relative Localization Method of RFID Tags via Phase and RSSI Based on Deep Learning

2. Research on Indoor Positioning Algorithm of Single Reader Based on Gated Recurrent Unit;tang;Evolving artificial intelligence,2021

3. RNN-based demand awareness in smart library using CRFID

4. Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches

5. Antenna design by using MOEA/D-based optimization techniques

Cited by 2 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. Optimization Technique for Indoor Localization: A Multi-Objective Approach to Sampling Time and Error Rate Trade-off;2023 IEEE Third International Conference on Signal, Control and Communication (SCC);2023-12-01

2. An Improved MOEA Based on Adaptive Adjustment Strategy for Optimizing Deep Model of RFID Indoor Positioning;2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2023-05-24

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