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Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing] Journal article
Yu, Zhaoyuan, Li, Dongshuang, Du, Pei, Luo, Wen, Kou, Kit Ian, Bhatti, Uzair Aslam, Benger, Werner, Lv, Guonian, Yuan, Linwang. Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing][J]. IEEE Signal Processing Magazine, 2024, 41(3), 33-48.
Authors:  Yu, Zhaoyuan;  Li, Dongshuang;  Du, Pei;  Luo, Wen;  Kou, Kit Ian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:9.4/18.0 | Submit date：2024/09/03
Analytical Models  Computational Modeling  Data Visualization  Geoscience  Signal Processing  Predictive Models  Hypercomplex  Digital Twins  Oceanography  Artificial Intelligence  High Performance Computing  
A Cloud-Edge Collaboration Framework for Generating Process Digital Twin Journal article
Shen, Bingqing, Yu, Han, Hu, Pan, Cai, Hongming, Guo, Jingzhi, Xu, Boyi, Jiang, Lihong. A Cloud-Edge Collaboration Framework for Generating Process Digital Twin[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 388-404.
Authors:  Shen, Bingqing;  Yu, Han;  Hu, Pan;  Cai, Hongming;  Guo, Jingzhi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/4.6 | Submit date：2024/05/16
Cloud Computing  Cloud-edge Collaboration  Collaboration  Data Models  Digital Twins  Drilling  Industrial Internet Of Things  Industrial Process  Monitoring  Real-virtual Fusion  Remote Supervision  Task Analysis  
Predicting Power Outage at Low-Lying Area Substations During Storm Surge Disasters Using Multi-Grained Cascaded Forest Journal article
Liu, Fengrui, Lao, Keng Weng, Gao, Liang, Lei, Chi Cheng, Hu, Xiaorui, Li, Yang. Predicting Power Outage at Low-Lying Area Substations During Storm Surge Disasters Using Multi-Grained Cascaded Forest[J]. IEEE Transactions on Industry Applications, 2024.
Authors:  Liu, Fengrui;  Lao, Keng Weng;  Gao, Liang;  Lei, Chi Cheng;  Hu, Xiaorui; et al.
Favorite | TC[Scopus]:2  IF:4.2/4.5 | Submit date：2024/05/16
Artificial Intelligence  Data Collection  Data Mining  Digital Twins  Feature Extraction  Power Supplies  Power System Security  Sea Measurements  Storm Surge  Surges  Tropical Cyclones  Urban Areas  Vectors  
Digital Twin Enabled Task Offloading for IoVs: A Learning-Based Approach Journal article
Zheng Jinkai, Zhang Yao, Luan Tom H., Mu Phil K., Li Guanjie, Dong Mianxiong, Wu Yuan. Digital Twin Enabled Task Offloading for IoVs: A Learning-Based Approach[J]. IEEE Transactions on Network Science and Engineering, 2024, 11(1), 659-672.
Authors:  Zheng Jinkai;  Zhang Yao;  Luan Tom H.;  Mu Phil K.;  Li Guanjie; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:6.7/6.0 | Submit date：2024/02/22
Digital Twins  Internet Of Vehicles  Reinforcement Learning  Task Offloading  
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Journal article
Wang，Yuntao, Su，Zhou, Guo，Shaolong, Dai，Minghui, Luan，Tom H., Liu，Yiliang. A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects[J]. IEEE Internet of Things Journal, 2023.
Authors:  Wang，Yuntao;  Su，Zhou;  Guo，Shaolong;  Dai，Minghui;  Luan，Tom H.; et al.
Favorite | TC[Scopus]:78  IF:8.2/9.0 | Submit date：2023/08/03
artificial intelligence  blockchain  Digital twins  Internet  Internet of digital twins  Internet of Things  privacy  Privacy  security  Security  semantic communication  Semantics  Synchronization  
Guided waves-based damage identification in plates through an inverse Bayesian process Journal article
Wu, W., Malik, M. K., Cantero-Chinchilla, S., Lawrie, T., Yan, W. J., Tanner, G., Remenyte-Prescott, R., Chronopoulos, D.. Guided waves-based damage identification in plates through an inverse Bayesian process[J]. Ultrasonics, 2022, 125, 106773.
Authors:  Wu, W.;  Malik, M. K.;  Cantero-Chinchilla, S.;  Lawrie, T.;  Yan, W. J.; et al.
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:3.8/3.7 | Submit date：2022/08/02
Bayesian Inference  Damage Identification  Digital Twins  Guided Waves  Structural Health Monitoring