1 citations · 1 across the 6 of their papers we have counts for
6 papers
Quantum Optimization for Access Point Selection Under Budget Constraint
Mohamed Khalil Brik, Ahmed Shokry, Moustafa Youssef
Optimal Access Point (AP) selection is crucial for accurate indoor localization, yet it is constrained by budget, creating a trade-off between localization accuracy and deployment…
An Efficient Quantum Binary-Neuron Algorithm for Accurate Multi-Story Floor Localization
Yousef Zook, Ahmed Shokry, Moustafa Youssef
Accurate floor localization in a multi-story environment is an important but challenging task. Among the current floor localization techniques, fingerprinting is the mainstream tec…
DeepCell: A Ubiquitous Accurate Provider-side Cellular-based Localization
Ahmed Shokry, Moustafa Youssef
Although outdoor localization is already available to the general public and businesses through the wide spread use of the GPS, it is not supported by low-end phones, requires a di…
Handling Device Heterogeneity for Deep Learning-based Localization
Ahmed Shokry, Moustafa Youssef
Deep learning-based fingerprinting is one of the current promising technologies for outdoor localization in cellular networks. However, deploying such localization systems for hete…
An Efficient Quantum Euclidean Similarity Algorithm for Worldwide Localization
Ahmed Shokry, Moustafa Youssef
Fingerprinting techniques are widely used for localization because of their accuracy, especially in the presence of wireless channel noise. However, the fingerprinting techniques r…
A Deployable Quantum Access Points Selection Algorithm for Large-Scale Localization
Ahmed Shokry, Moustafa Youssef
Effective access points (APs) selection is a crucial step in localization systems. It directly affects both localization accuracy and computational efficiency. Classical APs select…