研究業績

2024年度

主な論文・著書・特許等

1. D.V. Nguyen, C. Flavio, S. Ito, K. Zettsu: Data Space Handling Functions for Multi-Stakeholder Digital Twin Interaction and Smart City Applications, The 5th Germany-Japan Beyond 5G/6G Research Workshop, Sendai, Miyagi, Japan (January 2025).
2. W. Gan, M.S. Dao, K. Zettsu: Smart Driving Assistance with Real-time Risk Assessment and Personalized Driving Coaching to Enhance Road Safety, The 31th International Conference on MultiMedia Modeling — MMM 2025, Nara, Japan, Vol.15524, pp.210-217 (January 2025).
3. M.S. Dao, K. Zettsu, D.T. Hoang: Spatial-temporal Graph Transformer Network for Spatial-temporal Forecasting, IEEE Big Data, Washington D.C. , USA, pp.1276-1281 (December 2024).
4. H.Q. Nguyen-Son, M.S. Dao, K. Zettsu: SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation, EMNLP The Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, pp.22340-22352 (November 2024).
5. W. Gan, M.S.Dao, K.Zettsu: DriveCoach:Smart Driving Assistance with Multimodal Risk Prediction and Risk Adaptive Behavior Recommendation, ACM MM, Melbourne, Australia (October 2024). 最優秀産業デモ賞
6. 是津 耕司: データ連携AI による運転リスクの予測分析, 東京農工大学スマートモビリティ拠点シンポジウム2024, 東京農工大学 (2024年9月).
7. 是津 耕司: デジタルツインを活用したスマートシティ, スマートシティ・インスティテュート (2024年8月).
8. D.V. Nguyen, M.S. Dao, K. Zettsu: Digital Twin Orchestration: Framework and Smart City Applications, AI4DTCP@IJCAI 2024, The Second Workshop on AI for Digital Twins and Cyber-Physical Applications in conjunction with IJCAI 2024, International Convention Center Jeju (ICC Jeju), Jeju Island, South Korea, Vol.3807 (August 2024).
9. A.K. Tran, M.S. Dao, D.V. Nguyen, K. Zettsu: Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices, SMARTCOMP 2024, OSAKA INTERNATIONAL CONVENTION CENTER, pp.133-140 (July 2024).
10. S. Ito, K. Zettsu: Enhancing Smart Service Development: Embedding Image Recognition Capabilities within the xDataAPI, ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Dusit Thani Laguna, Thailand (June 2024).
11. M.S. Dao, K. Zettsu: Near-Miss Accident Prediction on the Edge: A Real-Time System for Safer Driving, The 14th International Conference on Multimedia Retrieval (ICMR 2024), Pukhet, Thailand, pp.1165-1169 (June 2024).
12. D.T.D. Nguyen, S.A. Khan, M. Riegler, P. Halvorsen, A.D. Tran, M.S. Dao, M.T. Tran: Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024, ICMR 2024, Pukhet, Thailand (June 2024).
13. M.S. Dao, M. Riegler, D.T.D. Nguyen, H.N. Tran, U.K. Rage, T. Komamizu: ICDAR 24: Intelligent Cross-Data Analysis and Retrieval, ICMR 2024, Pukhet, Thailand (June 2024).
14. M. Nakahara, A. Kubota, K. Sugiyama, K. Zettsu, H. Imanaka: Clarification of the interoperability between metaverse with digital twins for cyber physical security use case, ITU Focus Group on metaverse (FG-MV) (May 2024).
15. K. Zettsu, H. Imanaka: D5.3: Proposed descriptions of the reference points RI-6 and RE-6 for digital twin interoperability, ITU Focus Group on metaverse (FG-MV) (May 2024).
16. K. Zettsu, H. Imanaka: D5.3: Proposed editorial modifications on sub-clause 7.6, digital twin interoperability functional component, of D5.3, ITU Focus Group on metaverse (FG-MV), Online (April 2024).
17. K. Zettsu, M. Nakahara, A. Kubota, K. Sugiyama, H. Imanaka: D5.3: Proposals on use cases of interoperability between metaverses with digital twins, ITU Focus Group on metaverse (FG-MV), Online (April 2024).