9 citations · 20 across the 12 of their papers we have counts for
13 papers
Resource-Aware Model Selection for Scalable Indoor Localization on HPC Platforms
Fukuharu Tanaka, Hamada Rizk, Moustafa Youssef +1
Large-scale indoor localization is increasingly needed in campuses, smart buildings, factories, and digital-twin infrastructures, where wireless conditions, access-point deployment…
SimDeep: Federated 3D Indoor Localization via Similarity-Aware Aggregation
Ahmed Jaheen, Sarah Elsamanody, Hamada Rizk +1
Indoor localization plays a pivotal role in supporting a wide array of location-based services, including navigation, security, and context-aware computing within intricate indoor…
AirTags for Human Localization, Not Just Objects
Mohamed I. Hany, Hamada Rizk, Moustafa Youssef
Indoor localization has become increasingly important due to its wide-ranging applications in indoor navigation, emergency services, the Internet of Things (IoT), and accessibility…
TimeSense: Multi-Person Device-free Indoor Localization via RTT
Mohamed Mohsen, Hamada Rizk, Hirozumi Yamaguch +1
Locating the persons moving through an environment without the necessity of them being equipped with special devices has become vital for many applications including security, IoT,…
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data
Ren Ozeki, Haruki Yonekura, Hamada Rizk +1
Accurate taxi-demand prediction is essential for optimizing taxi operations and enhancing urban transportation services. However, using customers' data in these systems raises sign…
CROSS-Net: Region-Agnostic Taxi-Demand Prediction Using Feature Disentanglement
Ren Ozeki, Haruki Yonekura, Aidana Baimbetova +2
The growing demand for ride-hailing services has led to an increasing need for accurate taxi demand prediction. Existing systems are limited to specific regions, lacking generality…