DRVAT: Exploring RSSI series representation and attention model for indoor positioning-Reference-Cited by-同舟云学术

DRVAT: Exploring RSSI series representation and attention model for indoor positioning

Published:2021-10-18 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Ai Haojun¹^ORCID,Sun Xu¹^ORCID,Tao Jingjie¹,Liu Mengyun²^ORCID,Li Shengchen³^ORCID

Affiliation:

1. School of Cyber Science and Engineering Wuhan University Wuhan China

2. Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hongkong China

3. Department of Intelligent Science, School of Advanced Engineering Xi'an Jiaotong‐Liverpool University Suzhou China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22712

Reference51 articles.

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3. Accurate Indoor Positioning Using Temporal–Spatial Constraints Based on Wi-Fi Fine Time Measurements

4. RaiA ChintalapudiKK PadmanabhanVN SenR. Zee: Zero‐effort crowdsourcing for indoor localization. Proceedings of the 18th Annual International Conference on Mobile Computing and Networking;2012:293‐304.

5. DevlinJ ChangMW LeeK ToutanovaK. Bert: Pre‐training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:181004805;2018.

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