Tumbe Group of International Journals


  1. M. Youssef and A. Agrawala, “The HORUS location determination system”, Wireless Networking, vol. 14,no. 3, (2008), pp.357–374.
  2. K. S. ID, D. K. Lee, and H. K. *, “Indoor Pedestrian Localization Using iBeacon and Improved Kalman Filter,” 2018.
  3. K. Shi, Z. Ma, R. Zhang, W. Hu, and H. Chen, “Support Vector Regression Based Indoor Location in IEEE 802.11 Environments,” Mobile Information Systems, vol. 2015, p. 14 pages, 2015.
  4. V. L. Descamps, N. A. Perez, and J. Conesa, “RSS and Sensor Fusion Algorithms for Indoor Location Systems on Smartphone,” Connecting a Digital Europe Through Location and Place. Springer International Publishing. pp. 197–214, 2014.
  5. H. Bai, W. Yan, “Application of NN-KNN algorithm combined with cloud-based indoor positioning,” Metallurgical Mining Industry. vol. 7, pp. 383–388, 2015.
  6. Roy, P.; Chowdhury, C.; Kundu, M.; Ghosh, D.; Bandyopadhyay, S. Novel weighted ensemble classifier for smartphone-based indoor localization. Expert Syst. Appl. 2021, 164, 113758.
  7. Qi, C.; Gaoming, H.; Shiqiong, S. WLAN user location estimation based on receiving signal strength indicator. In Proceedings of the 5th International Conference onWireless Communications, Networking and Mobile Computing,WiCOM 2009, Beijing, China, 24–26 September 2009; IEEE: Piscataway, NJ, USA, 2009; pp. 1–4.
  8. Z. Zhu and A. K. Nandi, “Automatic Modulation Classification: Principles, Algorithms and Applications”, John Wiley & Sons, (2014).

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