Device-Invariant Cellular-Based Indoor Localization System Using Deep Learning

Author:

Rizk Hamada1

Affiliation:

1. Egypt Japan University of Science and Technology & Osaka University, New Borg El-Arab, Egypt

Publisher

ACM Press

Reference32 articles.

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2. Moustafa Abbas, Moustafa Elhamshary, Hamada Rizk, Marwan Torki, and Moustafa Youssef. 2019. WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning. In Proceedings of the International Conference on Pervasive Computing and Communications (PerCom). IEEE.

3. Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle. 2007. Greedy layer-wise training of deep networks. In Advances in neural information processing systems. 153--160.

4. Fangfang Dong, Yiqiang Chen, Junfa Liu, Qiong Ning, and Songmei Piao. 2009. A calibration-free localization solution for handling signal strength variance. In International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments. Springer, 79--90.

5. Rizanne Elbakly and Youssef Moustafa. 2019. Crescendo: An Infrastructure-free Ubiquitous Cellular Network-based Localization System. In Proceedings of Wireless Communications and Networking Conference (WCNC). IEEE.

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