5 citations · 6 across the 7 of their papers we have counts for
7 papers
Lightweight AI for UAV-Mounted RIS: An Overview
Sherief Hashima, Kohei Hatano, Eiji Takimoto +3
Unmanned Aerial Vehicles (UAV)-mounted Reconfigurable Intelligent Surfaces (RIS) have emerged as a promising architecture for enhancing wireless coverage, spectral efficiency, and…
Optimizing Nursing Care Taxi Dispatch Leveraging Integer Linear Programming Solvers and Machine Learning
Riku Nakao, Akihito Hiromori, Hamada Rizk +1
In this paper, we formulate a new vehicle dispatch optimization problem, called Nursing Care Taxi Dispatch, as a variant of the Vehicle Routing Problem, considering constraints rel…
Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi
Rainfall-induced landslides pose a growing risk worldwide as climate change intensifies extreme rainfall events. To provide sufficient evacuation time, landslide early warning syst…
Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles
Aidana Baimbetova, Haruki Yonekura, Hamada Rizk +1
Autonomous Vehicles (AVs) must make reliable decisions in dense urban environments where pedestrian behavior is variable, sometimes abnormal, and often unseen during training. Rein…
MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
Haruki Yonekura, Ren Ozeki, Tatsuya Amano +2
Modern mobility platforms have stored vast streams of GPS trajectories, temporal metadata, free-form textual notes, and other unstructured data. Privacy statutes such as the GDPR r…
Energy-Free Sensing and Context Recognition Using Photovoltaic Cells
Kaede Shintani, Hamada Rizk, Hirozumi Yamaguchi
The field of energy-free sensing and context recognition has recently gained significant attention as it allows operating systems without external power sources. Photovoltaic cells…
Restoring Super-High Resolution GPS Mobility Data
Haruki Yonekura, Ren Ozeki, Hamada Rizk +1
This paper presents a novel system for reconstructing high-resolution GPS trajectory data from truncated or synthetic low-resolution inputs, addressing the critical challenge of ba…