Ryouichi Shinkuma

Scopus著者プロファイル

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年別の研究成果

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フィンガープリント

Ryouichi Shinkumaが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

1 類似のプロファイル

77 Conference contribution
58 Article
2 Editorial
1 Chapter
その他
- 1 Conference article
- 1 Review article

Anomaly Traffic Detection with Federated Learning toward Network-based Malware Detection in IoT
Nishio, T., Nakahara, M., Okui, N., Kubota, A., Kobayashi, Y., Sugiyama, K. & Shinkuma, R., 2022, 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 299-304 6 p. (2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings).
研究成果
Data Importance Aware Periodic Machine Learning Model Update for Sparse Mobile Crowdsensing
Inagaki, Y., Shinkuma, R., Sato, T. & Oki, E., 2022, In: Proceedings - IEEE Consumer Communications and Networking Conference, CCNC. p. 667-670 4 p.
研究成果 › 査読
Edge computing system with multi-LIDAR sensor network for robustness of autonomous personal-mobility
Akiyama, K., Shinkuma, R., Yamamoto, C., Saito, M., Ito, T., Nihei, K. & Iwai, T., 2022, Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022. Institute of Electrical and Electronics Engineers Inc., p. 290-295 6 p. (Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022).
研究成果
Real-time adaptive data filtering with multiple sensors for indoor monitoring
Akiyama, K., Shinkuma, R. & Shiomi, J., 2022, Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022. Varga, P., Granville, L. Z., Galis, A., Godor, I., Limam, N., Chemouil, P., Francois, J. & Pahl, M-O. (eds.). Institute of Electrical and Electronics Engineers Inc., (Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022).
研究成果
Reduction of Information Collection Cost for Inferring Brain Model Relations From Profile Information Using Machine Learning
Shinkuma, R., Nishida, S., Maeda, N., Kado, M. & Nishimoto, S., 2022 7月 1, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52, 7, p. 4057-4068 12 p.
研究成果 › 査読

新熊亮一

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詳細を開く

Anomaly Traffic Detection with Federated Learning toward Network-based Malware Detection in IoT

Data Importance Aware Periodic Machine Learning Model Update for Sparse Mobile Crowdsensing

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

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

Reduction of Information Collection Cost for Inferring Brain Model Relations From Profile Information Using Machine Learning

新熊 亮一

フィンガープリント

ネットワーク

研究成果

Anomaly Traffic Detection with Federated Learning toward Network-based Malware Detection in IoT

Data Importance Aware Periodic Machine Learning Model Update for Sparse Mobile Crowdsensing

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

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

Reduction of Information Collection Cost for Inferring Brain Model Relations From Profile Information Using Machine Learning

新熊亮一