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Enabling Remote Human-to-Machine Applications With AI-Enhanced Servers Over Access Networks

  • Published:2020 Issue: Volume:1 Page:889-899
  • ISSN:2644-125X
  • Container-title:IEEE Open Journal of the Communications Society
  • language:
  • Short-container-title:IEEE Open J. Commun. Soc.

Author:

Mondal SouravORCID,Ruan LihuaORCID,Maier MartinORCID,Larrabeiti DavidORCID,Das Goutam,Wong ElaineORCID

Funder

John Collier Scholarship from Melbourne School of Engineering in 2019 to support research students to undertake valuable travel opportunities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel Concept Drift Detection and Adaptation (CDDA) Framework for Human-to-Machine (H2M) Applications over Future Communication Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Artificial Intelligence without Internet;International Journal of Advanced Research in Science, Communication and Technology;2024-04-26

3. How do Users Experience Asynchrony between Visual and Haptic Information?;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

4. Metarobotics for Industry and Society: Vision, Technologies, and Opportunities;IEEE Transactions on Industrial Informatics;2024

5. Towards 6G: fast and self-adaptive dynamic bandwidth allocation for next-generation mobile fronthaul [Invited];Journal of Optical Communications and Networking;2023-07-05
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