EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 380 (2026) EPJ Web Conf., 380 (2026) 01023 References
Open Access
Issue
EPJ Web Conf.
Volume 380, 2026
International Conference on Information Systems and Communication Technologies (ICISCT’25)
Article Number 01023
Number of page(s) 9
Section Microwave Components and 5G/6G Communication Systems
DOI https://doi.org/10.1051/epjconf/202638001023
Published online 03 August 2026
  1. T. Sanpechuda, L. Kovavisaruch, A review of RFID localization: Applications and techniques. 5th international conference on electrical engineering/electronics, computer, telecommunications and information technology. 2, 769 (2008) [Google Scholar]
  2. L. Ni, Y. Liu, Y. C. Lau, A. P. Patil, LANDMARC: Indoor localization sensing using active RFID. Proceedings of the First IEEE International Conference on Pervasive Computing and Communications. 407 (2003) [Google Scholar]
  3. M. Anne, J. L. Crowley, V. Devin, G. Privat, Localisation intra-bâtiment multitechnologies :RFID, Wifi et vision. Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing. 29 (2005) [Google Scholar]
  4. A. V. Bhalla, A. Mishra, Optimizing indoor localization precision: advancements in RFID strategies for enhanced performance. Engineering Research Express. 6, 045301 (2024) [Google Scholar]
  5. Y. Fu, X. Xiong, Z. Liu, X. Chen, Y. Liu, Z. Fu, A GNN-based indoor localization method using mobile RFID platform. 7 th International Conference on Smart and Sustainable Technologies. 1 (2022) [Google Scholar]
  6. H. Ma, Z. Ma, L. Li, Y. Gao, Deep learning approach for UHF RFID-based indoor localization. International Journal of RF Technologies. 12, 1 (2021) [Google Scholar]
  7. Y. Li, L. Xie, Y. Wang, M. Zhou, Improved Bat Algorithm for RFID Indoor Localization. International Conference on Microwave and Millimeter Wave Technology. 1 (2022) [Google Scholar]
  8. M. El-Absi, F. Zheng, A. Abuelhaija, A. Al-haj Abbas, K. Solbach, T. Kaiser, Indoor large-scale MIMO-based RSSI localization with low-complexity RFID infrastructure. Sensors. 20, 3933 (2020) [Google Scholar]
  9. J. Liu, L. Yang, S. Chen, W. Dong, B. Yu, Q. Wang, An Improved MOEA Based on Adaptive Adjustment Strategy for Optimizing Deep Model of RFID Indoor Positioning. 26th International Conference on Computer Supported Cooperative Work in Design. 357 (2023) [Google Scholar]
  10. A. Ivry, E. Fisher, R. Alimi, I. Mosseri, K. Nahir, Multiclass permanent magnets superstructure for indoor localization using artificial intelligence. IEEE Transactions on Magnetics. 58, 1 (2021) [Google Scholar]
  11. Y. Ma, B. Wang, S. Pei, Y. Zhang, S. Zhang, J. Yu, An indoor localization method based on AOA and PDOA using virtual stations in multipath and NLOS environments for passive UHF RFID. IEEE Access. 6, 31772 (2018) [Google Scholar]
  12. X. Zhu, W. Qu, T. Qiu, L. Zhao, M. Atiquzzaman, D. O. Wu, Indoor intelligent fingerprint-based localization: Principles, approaches and challenges. IEEE Communications Surveys & Tutorials. 22, 2634 (2020) [Google Scholar]
  13. K. F. P. Wye, S. M. Zakaria, L. M. Kamarudin, A. Zakaria, N. B. Ahmad, K. Kamarudin, RSS-Based Fingerprinting Localization with Artificial Neural Network. In Journal of Physics: Conference Series. IOP Publishing. 1755, 012033 (2021) [Google Scholar]
  14. O. Kerdjidj, Y. Himeur, S. Sohail, A. Amira, F. Fadli, S. Attala, D. Dawoud, Uncovering the potential of indoor localization: Role of deep and transfer learning. IEEE Access. (2024) [Google Scholar]
  15. M. Higaki, Y. Tsutsumi, 3d indoor localization of RFID tags with phased array and deep neural network. In IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting. IEEE. 1005 (2020) [Google Scholar]
  16. G. Uganya, M. Sathesh, M. S. Sheela, N. Nalini, Outlier Detection in Indoor Localization using “Random Forest” and “Support Vector Machine”. Intelligent Computing and Control for Engineering and Business Systems. IEEE. 1 (2023) [Google Scholar]
  17. L. Mo, Y. Zhu, D. Zhang, Uhf RFID indoor localization algorithm based on BP-SVR. IEEE Journal of Radio Frequency Identification. 6, 385 (2022) [Google Scholar]
  18. C. S. Choong, A. F. Ab. Nasir, A. P. Abdul Majeed, M. A. Zakaria, M. A. Razman, Investigation of Features for Classification RFID Reading Between Two RFID Reader in Various Support Vector Machine Kernel Function. In Recent Trends in Mechatronics Towards Industry 4.0. Malaysia Springer Singapore. 127 (2022) [Google Scholar]
  19. Z. Pan, C. Chen, Y. Yu, J. Qiu, Research on SVM-based RFID Indoor Localization. International Conference on Intelligent Sensing and Industrial Automation. 1 (2023). [Google Scholar]
  20. A. Madhav, K. M. Akhil, RSSI based Localization and Evaluation using Support Vector Machine. In 2022 4th International Conference on Inventive Research in Computing Applications. IEEE. 509 (2022) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.