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Results for Gaussian mixture model

Publications & Outputs

  1. Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach

    Ruan, W., Sheng, Q. Z., Yao, L., Li, X., Falkner, N. J. G. & Yang, L., 15/02/2018, In: Journal of Network and Computer Applications. 104, p. 78-96 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Exploring tag-free RFID-based passive localization and tracking via learning-based probabilistic approaches

    Yao, L., Ruan, W., Sheng, Q. Z., Li, X. & Falkner, N. J. G., 1/01/2014, CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, Inc, p. 1799-1802 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. TagTrack: Device-free localization and tracking using passive RFID tags

    Ruan, W., Yao, L., Sheng, Q. Z., Falkner, N. J. G. & Li, X., 1/01/2014, MobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), p. 80-89 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. Locating and quantifying gas emission sources using remotely obtained concentration data

    Hirst, B., Jonathan, P., González del Cueto, F., Randell, D. & Kosut, O., 2013, In: Atmospheric Environment. 74, p. 141-158 18 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review