A Continual Learning-Based Framework for Developing a Single Wind Turbine Cybertwin Adaptively Serving Multiple Modeling Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3130721
Abstract: This article proposes a generalized neural continual learning-based cybertwin (GNC) modeling framework to realize developing one wind turbine (WT) cybertwin serving multiple modeling tasks in the wind farm operations and maintenance (O&M). A generalized WT… read more here.
Keywords: modeling tasks; learning based; cybertwin; continual learning ... See more keywords
Guest Editorial: Cybertwin-Driven 6G for Internet of Everything: Architectures, Challenges, and Industrial Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3151914
Abstract: The mobile traffic data and resources using IoE in wireless networking have raised numerous problems in terms of performance monitoring in edge-connected devices [1]. Next-generation networks, such as 6G and cybertwin, are implemented to address… read more here.
Keywords: editorial cybertwin; cybertwin driven; cybertwin; driven internet ... See more keywords
Design of Resources Allocation in 6G Cybertwin Technology Using the Fuzzy Neuro Model in Healthcare Systems
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/5691203
Abstract: In 6G edge communication networks, the machine learning models play a major role in enabling intelligent decision-making in case of optimal resource allocation in case of the healthcare system. However, it causes a bottleneck, in… read more here.
Keywords: resource; cybertwin; model; allocation ... See more keywords