Kengo Tajiri

According to our database, Kengo Tajiri authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief.

Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano

CoRR, 2024

RouteExplainer: An Explanation Framework for Vehicle Routing Problem.

Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Optimizing IoT Data Collection for Federated Learning Under Constraint of Wireless Bandwidth.

Kengo Tajiri, Ryoichi Kawahara

Proceedings of the IEEE International Conference on Communications, 2024

Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning.

Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Collision Detection for Robot Arm Assisted with Digital Twin System.

Kengo Tajiri, Takuya Iwamoto

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023

Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion.

Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo

IEICE Trans. Commun., September, 2023

Optimizing Data Distribution for Federated Learning Under Bandwidth Constraint.

Kengo Tajiri, Ryoichi Kawahara

Proceedings of the IEEE International Conference on Communications, 2023

Data Transfer for Balancing Model Convergence and Training Time in Federated Learning.

Kengo Tajiri, Ryoichi Kawahara

Proceedings of the IEEE Global Communications Conference, 2023

2021

Fault Detection of ICT systems with Deep Learning Model for Missing Data.

Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

2020

Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems.

Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe

Proceedings of the NOMS 2020, 2020

2018

Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders.

Yasuhiro Ikeda, Kengo Tajiri, Yuusuke Nakano, Keishiro Watanabe, Keisuke Ishibashi

CoRR, 2018