A Symbolic GeoPositioning System to Allow e-Health Enhanced Usages
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28076-4_50
Reference15 articles.
1. Liu, C., Wang, H., Liu, M., Li, P.: Research and analysis of indoor positioning technology. In: 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), pp. 12121217 (2021)
2. Lukito, Y., Chrismanto, A.R.: Recurrent neural networks model for WiFi-based indoor positioning system. In: 2017 International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS)
3. Garcete, D.A., Noguera, J.L.V., Villalba, C.: Centralized indoor positioning system using bluetooth low energy. In: 2018 XLIV Latin American Computer Conference (CLEI)
4. El Abkari, S., Jilbab, A., El Mhamdi, J.: Real time positioning over WSN and RFID network integration. In: 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
5. Ho, Y.-H., Shieh, W.-Y., Sung, P.-S., Lin, C.-L.: A real-time customer tracking system based on ultra-wideband sensors. In: 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)
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