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Untrained single scanning phase retrieval neural network for surface deformation measurement of large-aperture antennas 期刊论文
OPTICS AND LASERS IN ENGINEERING, 2024, 卷号: 183, 页码: 108525
Authors:  Zhang, Zihan;  Ye, Qian;  Wang, Na;  Meng, Guoxiang
Adobe PDF(3139Kb)  |  Favorite  |  View/Download：12/2  |  Submit date：2024/11/27
Antenna surface measurement  Phase retrieval  Untrained deep learning  
A Graph-Based Semi-Supervised Approach for Few-Shot Class-Incremental Modulation Classification 期刊论文
CHINA COMMUNICATIONS, 2024, 页码: 16
Authors:  Zhou, Xiaoyu;  Qi, Peihan;  Liu, Qi;  Ding, Yuanlei;  Zheng, Shilian;  Li, Zan
Favorite  |  View/Download：9/0  |  Submit date：2024/05/23
deep learning  few-shot  label propaga- tion  modulation classification  semi-supervised learn- ing  
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  
利用高性能混合深度学习网络提升光谱分类性能研究 期刊论文
光谱学与光谱分析, 2022, 卷号: 42, 期号: 3, 页码: 699-703
Authors:  刘忠宝;  王杰
Adobe PDF(363Kb)  |  Favorite  |  View/Download：100/0  |  Submit date：2022/07/28
Spectra classification  Deep learning network  BERT model  CNN model  
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  
Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control 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(891Kb)  |  Favorite  |  View/Download：95/0  |  Submit date：2021/04/12
Deep learning  Cloud computing  Computation theory  Optical resolving power