A Shokry, M Youssef - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Fingerprinting is one of the most commonly used techniques for indoor localization due to their high accuracy in the presence of the wireless channel noise. Nonetheless, they require …
A Shokry, M Youssef - 2022 20th Mediterranean …, 2022 - ieeexplore.ieee.org
Although RF fingerprinting is one of the most commonly used techniques for localization, deploying it in a ubiquitous manner requires addressing the challenge of supporting a large …
A Shokry, M Youssef - 2023 IEEE 48th Conference on Local …, 2023 - ieeexplore.ieee.org
Quantum computing is a fast-developing field that has the ability to tackle complex problems that conventional computers struggle with. Recently, quantum fingerprinting localization has …
In this paper, we present QHFP, a device-independent quantum fingerprint matching algorithm that addresses two of the issues for realizing worldwide ubiquitous large-scale …
A Shokry, M Youssef - arXiv preprint arXiv:2407.16923, 2024 - arxiv.org
Deep learning-based fingerprinting is one of the current promising technologies for outdoor localization in cellular networks. However, deploying such localization systems for …
The ability to accurately estimate depth information is crucial for many autonomous applications to recognize the surrounded environment and predict the depth of important …