9 citations · 20 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
Eco-Friendly Sensing for Human Activity Recognition
Kaede Shintani, Hamada Rizk, Hirozumi Yamaguchi
With the increasing number of IoT devices, there is a growing demand for energy-free sensors. Human activity recognition holds immense value in numerous daily healthcare applicatio…
Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA
Mohamed Mohsen, Hamada Rizk, Moustafa Youssef
Indoor localization systems have become increasingly important in a wide range of applications, including industry, security, logistics, and emergency services. However, the growin…
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Yumeki Goto, Tomoya Matsumoto, Hamada Rizk +2
Taxi-demand prediction is an important application of machine learning that enables taxi-providing facilities to optimize their operations and city planners to improve transportati…
Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs
Masakazu Ohno, Riki Ukyo, Tatsuya Amano +2
The growing demand for intelligent environments unleashes an extraordinary cycle of privacy-aware applications that makes individuals' life more comfortable and safe. Examples of t…