Indoor location detection with a RSS-based short term memory technique (KNN-STM)-Reference-Cited by-同舟云学术

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Indoor location detection with a RSS-based short term memory technique (KNN-STM)

Published:2012-03 Issue: Volume: Page:
ISSN:
Container-title:2012 IEEE International Conference on Pervasive Computing and Communications Workshops
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Author:

Altintas Bulut,Serif Tacha

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6192378/6197445/06197620.pdf?arnumber=6197620

Cited by 13 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. RWKNN: A Modified WKNN Algorithm Specific for the Indoor Localization Problem;IEEE Sensors Journal;2022-04-01

2. Integrated Statistical Test of Signal Distributions and Access Point Contributions for Wi-Fi Indoor Localization;IEEE Transactions on Vehicular Technology;2021-05

3. Development of a Positioning Technique for Traffic Data Collection Using Wireless Signal Scanners;Transportation Research Record: Journal of the Transportation Research Board;2020-05

4. AP Optimization for Wi-Fi Indoor Positioning-Based on RSS Feature Fuzzy Mapping and Clustering;IEEE Access;2020

5. Probability-Based Indoor Positioning Algorithm Using iBeacons;Sensors;2019-11-28

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