4 citations · 5 across the 2 of their papers we have counts for
4 papers
Estimation of physical activities of people in offices from time-series point-cloud data
Koki Kizawa, Ryoichi Shinkuma, Gabriele Trovato
This paper proposes an edge computing system that enables estimating physical activities of people in offices from time-series point-cloud data, obtained by using a light-detection…
Feature-based model selection for object detection from point cloud data
Kairi Tokuda, Ryoichi Shinkuma, Takehiro Sato +1
Smart monitoring using three-dimensional (3D) image sensors has been attracting attention in the context of smart cities. In smart monitoring, object detection from point cloud dat…
Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance
Ryusei Sugano, Ryoichi Shinkuma, Takayuki Nishio +2
This paper presents the watch-from-sky framework, where multiple unmanned aerial vehicles (UAVs) play four roles, i.e., sensing, data forwarding, computing, and patrolling, for pre…
Estimation of Individual Device Contributions for Incentivizing Federated Learning
Takayuki Nishio, Ryoichi Shinkuma, Narayan B. Mandayam
Federated learning (FL) is an emerging technique used to train a machine-learning model collaboratively using the data and computation resource of the mobile devices without exposi…