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ORCIDKengo Tajiri
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2020 – today
- 2024
[c10]Kengo Tajiri, Takuya Iwamoto:
Collision Detection for Robot Arm Assisted with Digital Twin System. AIM 2024: 524-529- [c9]Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano:
Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning. AAMAS 2024: 2336-2338 - [c8]Kengo Tajiri, Ryoichi Kawahara:
Optimizing IoT Data Collection for Federated Learning Under Constraint of Wireless Bandwidth. ICC 2024: 3286-3291 - [c7]Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano:
RouteExplainer: An Explanation Framework for Vehicle Routing Problem. PAKDD (3) 2024: 30-42 - [c6]Yoshie Morita, Kengo Tajiri, Yoichi Matsuo:
Vehicle Traffic Density Estimation with Deep Learning for Predicting Communication Traffic Volume by Vehicle Communication Services. VTC Fall 2024: 1-6 - [i4]Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuusuke Nakano:
RouteExplainer: An Explanation Framework for Vehicle Routing Problem. CoRR abs/2403.03585 (2024) - [i3]Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri, Yuta Toyama, Masaki Nakamura, Yuusuke Nakano:
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief. CoRR abs/2404.02448 (2024) - 2023
- [j1]Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo:
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion. IEICE Trans. Commun. 106(9): 827-836 (2023) - [c5]Kengo Tajiri, Ryoichi Kawahara:
Data Transfer for Balancing Model Convergence and Training Time in Federated Learning. GLOBECOM 2023: 6777-6782 - [c4]Kengo Tajiri, Ryoichi Kawahara:
Optimizing Data Distribution for Federated Learning Under Bandwidth Constraint. ICC 2023: 3732-3737 - 2022
- [c3]Kengo Tajiri, Ryoichi Kawahara, Yoichi Matsuo
:
Optimizing Edge-Cloud Cooperation for Machine Learning Accuracy Considering Transmission Latency and Bandwidth Congestion. NOMS 2022: 1-9 - 2021
- [c2]Kengo Tajiri, Tomoharu Iwata, Yoichi Matsuo, Keishiro Watanabe:
Fault Detection of ICT systems with Deep Learning Model for Missing Data. IM 2021: 445-451 - 2020
- [c1]Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe:
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems. NOMS 2020: 1-5 - [i2]Kengo Tajiri, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe:
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems. CoRR abs/2003.10783 (2020)
2010 – 2019
- 2018
- [i1]Yasuhiro Ikeda, Kengo Tajiri, Yuusuke Nakano, Keishiro Watanabe, Keisuke Ishibashi:
Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders. CoRR abs/1811.04576 (2018)
Coauthor Index
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