Papers - Ota Kaoru

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  1. Blockchain-Integrated UAV-Assisted Mobile Edge Computing: Trajectory Planning and Resource Allocation

    Die Wang, Yunjian Jia, Liang Liang, Mianxiong Dong, Kaoru Ota,IEEE Transactions on Vehicular Technology,vol.73,(1),(p.1263 ~ 1275),2024.01

  2. Efficient Privacy Preserving in IoMT With Blockchain and Lightweight Secret Sharing

    Li C.,IEEE Internet of Things Journal,vol.10,(24),(p.22051 ~ 22064),2023.12

  3. Learning IoV in 6G: Intelligent Edge Computing for Internet of Vehicles in 6G Wireless Communications

    Li H.,IEEE Wireless Communications,vol.30,(6),(p.96 ~ 101),2023.12

  4. HyScaler: A Dynamic, Hybrid VNF Scaling System for Building Elastic Service Function Chains Across Multiple Servers

    Chen Z.,IEEE Transactions on Network and Service Management,vol.20,(4),(p.4803 ~ 4814),2023.12

  5. Multi-Antenna Information Fusion-Based Indoor Localization Using Signals Reflections

    Ding J.,IEEE Communications Letters,vol.27,(12),(p.3220 ~ 3224),2023.12

  6. Privacy Preserving for Electronic Medical Record Sharing in Healthchain with Group Signature

    Li C.,IEEE Systems Journal,vol.17,(4),(p.6114 ~ 6125),2023.12

  7. Measurement-Based Quantum Sealed-Bid Auction

    Ye C.Q.,IEEE Transactions on Circuits and Systems I: Regular Papers,vol.70,(12),(p.5352 ~ 5365),2023.12

  8. A multi-scale self-supervised hypergraph contrastive learning framework for video question answering

    Wang Z.,Neural Networks,vol.168,(p.272 ~ 286),2023.11

  9. A time series classification method combining graph embedding and the bag-of-patterns algorithm

    Ma X.,Applied Intelligence,vol.53,(22),(p.26297 ~ 26312),2023.11

  10. Aerial Edge Computing: Flying Attitude-Aware Collaboration for Multi-UAV

    Xu J.,IEEE Transactions on Mobile Computing,vol.22,(10),(p.5706 ~ 5718),2023.10

  11. A Data Sharing Scheme Based on Federated Learning in IoV

    Hu X.,IEEE Transactions on Vehicular Technology,vol.72,(9),(p.11644 ~ 11656),2023.09

  12. Distributed Joint Resource Optimization for Federated Learning Task Distribution

    Zhang C.,IEEE Transactions on Green Communications and Networking,vol.7,(3),(p.1457 ~ 1471),2023.09

  13. ReGR: Relation-aware graph reasoning framework for video question answering

    Wang Z.,Information Processing and Management,vol.60,(4),2023.07

  14. Wital: A COTS WiFi Devices Based Vital Signs Monitoring System Using NLOS Sensing Model

    Zhang X.,IEEE Transactions on Human-Machine Systems,vol.53,(3),(p.629 ~ 641),2023.06

  15. A Centralized Control-Based Clustering Scheme for Energy Efficiency in Underwater Acoustic Sensor Networks

    Tian W.,IEEE Transactions on Green Communications and Networking,vol.7,(2),(p.668 ~ 679),2023.06

  16. Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

    Ju Y.,IEEE Transactions on Intelligent Transportation Systems,vol.24,(5),(p.5555 ~ 5569),2023.05

  17. Circular mediated semi-quantum key distribution

    Ye C.Q.,Quantum Information Processing,vol.22,(4),2023.04

  18. CRB Weighted Source Localization Method Based on Deep Neural Networks in Multi-UAV Network

    Cong J.,IEEE Internet of Things Journal,vol.10,(7),(p.5747 ~ 5759),2023.04

  19. Resource Scheduling for Intelligent Reflecting Surface-Assisted Full-Duplex Wireless-Powered Communication Networks With Phase Errors

    Mao S.,IEEE Internet of Things Journal,vol.10,(7),(p.6018 ~ 6030),2023.04

  20. FedBroadcast: Exploit Broadcast Channel for Fast Convergence in Wireless Federated Learning

    Tian H.,IEEE Internet of Things Journal,vol.10,(5),(p.4652 ~ 4663),2023.03

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