75 citations · 572 across the 39 of their papers we have counts for
40 papers
Towards Mobility Data Science (Vision Paper)
Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…
The Tale of Two Localization Technologies: Enabling Accurate Low-Overhead WiFi-based Localization for Low-end Phones
Ahmed Shokry, Moustafa Elhamshary, Moustafa Youssef
WiFi fingerprinting is one of the mainstream technologies for indoor localization. However, it requires an initial calibration phase during which the fingerprint database is built…
CrossCount: A Deep Learning System for Device-free Human Counting using WiFi
Osama T. Ibrahim, Walid Gomaa, Moustafa Youssef
Counting humans is an essential part of many people-centric applications. In this paper, we propose CrossCount: an accurate deep-learning-based human count estimator that uses a si…
DynamicSLAM: Leveraging Human Anchors for Ubiquitous Low-Overhead Indoor Localization
Ahmed Shokry, Moustafa Elhamshary, Moustafa Youssef
We present DynamicSLAM: an indoor localization technique that eliminates the need for the daunting calibration step. DynamicSLAM is a novel Simultaneous Localization And Mapping (S…
Zero-Calibration Device-free Localization for the IoT based on Participatory Sensing
Osama T. Ibrahim, Walid Gomaa, Moustafa Youssef
Device-free localization (DFL) is an emerging technology for estimating the position of a human or object that is not equipped with any electronic tag, nor participate actively in…
Effectiveness of Data Augmentation in Cellular-based Localization Using Deep Learning
Hamada Rizk, Ahmed Shokry, Moustafa Youssef
Recently, deep learning-based positioning systems have gained attention due to their higher performance relative to traditional methods. However, obtaining the expected performance…