Indoor Localization Using Multi-operator Public Land Mobile Networks and Support Vector Machine Learning Algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-018-6099-1/fulltext.html
Reference32 articles.
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3. Yassin, A., Nasser, Y., Awad, M., et al. (2017). Recent advances in indoor localization: A survey on theoretical approaches and applications. IEEE Communication Surveys and Tutorials, 19(2), 1327–1346.
4. He, S., & Chan, S. H. G. (2016). Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons. IEEE Communication Surveys and Tutorials, 18(1), 466–490.
5. Lu, X., Zou, H., Zhou, H., Xie, L., & Huang, G. B. (2016). Robust extreme learning machine with its application to indoor positioning. IEEE Transaction on Cybernetics, 46(1), 194–205.
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