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A multi-fidelity transfer learning strategy based on multi-channel fusion 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 506, 页码: 112952
Authors:  Zhang, Zihan;  Ye, Qian;  Yang, Dejin;  Wang, Na;  Meng, Guoxiang
Adobe PDF(3852Kb)  |  Favorite  |  View/Download：7/0  |  Submit date：2024/06/14
Surrogate model  Deep neural networks  Multi-fidelity  Data fusion  
Deep Learning Aided Multi-Level Transmit Power Recognition in Cognitive Radio Networks 期刊论文
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2023, 卷号: 9, 期号: 2, 页码: 332-344
Authors:  Tan, Zhenyu;  Wang, Danyang;  Liu, Qi;  Li, Zan;  Zhang, Ning;  Abdel-Raheem, Esam
Adobe PDF(3048Kb)  |  Favorite  |  View/Download：12/1  |  Submit date：2023/11/21
Sensors  Feature extraction  Computer architecture  Interference  Deep learning  Convolutional neural networks  Uncertainty  Cognitive radio  convolutional neural network  multiple transmit power levels recognition  
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution 会议论文
5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018, Nanjing, China, November 23, 2018 - November 25, 2018
Authors:  Xu, Wendi;  Zhang, Ming
Adobe PDF(752Kb)  |  Favorite  |  View/Download：94/1  |  Submit date：2021/04/12
Warships  Brain  Cloud computing  Deep learning  Image processing  Neural networks  Optical resolving power  
Application of AI Technology in Pulsar Candidate Identification 期刊论文
Astronomical Techniques and Instruments, 卷号: 1, 页码: 1-17
Authors:  Wanqiong Wang;  Jie Wang;  Xinchen Ye;  Yazhou Zhang;  Jia Li;  Xu Du;  Wenna Cai;  Han Wu;  Ting Zhang;  Yuyue Jiao
Adobe PDF(3712Kb)  |  Favorite  |  View/Download：2/0  |  Submit date：2025/06/05
AI technology  Candidate identification  Machine learning  Neural networks