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In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data

  • Published:2018-08-01 Issue:8 Volume:30 Page:1481-1495
  • ISSN:1041-4347
  • Container-title:IEEE Transactions on Knowledge and Data Engineering
  • language:
  • Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Li HuanORCID,Lu HuaORCID,Shou Lidan,Chen Gang,Chen Ke

Funder

National Basic Research Program

National Science Foundation of China

Natural Science Foundation of Zhejiang Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Cited by 29 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. Searching rooms with top-k passenger flows using indoor trajectories;Discover Computing;2024-08-23

2. Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract);2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Contact Tracing Over Uncertain Indoor Positioning Data;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

4. A Bi-LSTM approach for modelling movement uncertainty of crowdsourced human trajectories under complex urban environments;International Journal of Applied Earth Observation and Geoinformation;2023-08

5. THIP: A trajectory history‐based indoor positioning algorithm using stress‐free floor plan for patient monitoring;International Journal of Communication Systems;2023-05-12
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