Kuon Akiyama

According to our database, Kuon Akiyama authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Multimodal Dataset for Indoor Radio Mapping with 3D Point Clouds and RSSI.

Ljupcho Milosheski, Kuon Akiyama, Blaz Bertalanic, Jernej Hribar, Ryoichi Shinkuma

CoRR, November, 2025

Blockchain framework for registering 3D machine-learning models with disclosed training datasets.

Kuon Akiyama, Yoshiki Tsuruta, Ryoichi Shinkuma, Aram Mine

Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024

Poster: Remote Visualization of LiDAR Data via Application-Level Network.

Kenshiro Naito, Kuon Akiyama, Ryoichi Shinkuma, Gabriele Trovato

Proceedings of the IEEE Vehicular Networking Conference, 2024

Simulation based data acquisition system for object detection in multi-LiDAR networks.

Wang Xinyu, Kuon Akiyama, Ryoichi Shinkuma, Gabriele Trovato

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023

Prototype of edge sensing and computing system with multi-LIDAR network for autonomous micro-mobility.

Masaki Wago, Kuon Akiyama, Ryoichi Shinkuma, Gabriele Trovato, Koichi Nihei, Takanori Iwai

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Blockchain framework for managing machine-learning models for 3D object detection.

Yoshiki Tsuruta, Kuon Akiyama, Ryoichi Shinkuma, Aramu Mine

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

Real-Time Hash Aggregation for Blockchain System With 3D Sensor Network.

Kensei Hirai, Kuon Akiyama, Ryoichi Shinkuma, Aramu Mine

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Real-time adaptive data filtering with multiple sensors for indoor monitoring.

Kuon Akiyama, Ryoichi Shinkuma, Jun Shiomi

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Edge computing system with multi-LIDAR sensor network for robustness of autonomous personal-mobility.

Kuon Akiyama, Ryoichi Shinkuma, Chotaro Yamamoto, Mai Saito, Toshio Ito, Koichi Nihei, Takanori Iwai

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022