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| Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2269-2291
作者: Zefeng Zheng; Luyao Teng; Wei Zhang ; Naiqi Wu; Shaohua Teng
 Adobe PDF(15412Kb) |  收藏 | 浏览/下载：149/28 | 提交时间：2023/10/31
Cross-domain risk dual density sampling intra-domain risk maximum mean discrepancy knowledge transfer learning resource-limited domain adaptation |
| Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2136-2153
作者: Baoshun Shi; Kexun Liu
Adobe PDF(16304Kb) | 收藏 | 浏览/下载：111/48 | 提交时间：2023/09/22
Bounded denoiser compressed sensing magnetic resonance imaging (CSMRI) dual frames plug-and-play priors regularization |
| Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者: Yanfen Wang; Mengzhen Kang; Yali Liu; Juanjuan Li; Kai Xue; Xiujuan Wang; Jianqing Du; Yonglin Tian; Qinghua Ni; Fei-Yue Wang
Adobe PDF(9632Kb) | 收藏 | 浏览/下载：310/177 | 提交时间：2023/09/22
Carbon-water balance decision-support digital intelligence (DI) foundation models planning |
| Cascading Delays for the High-Speed Rail Network Under Different Emergencies: A Double Layer Network Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 2014-2025
作者: Xingtang Wu; Mingkun Yang; Wenbo Lian; Min Zhou; Hongwei Wang; Hairong Dong
Adobe PDF(2179Kb) | 收藏 | 浏览/下载：153/51 | 提交时间：2023/09/07
Delay propagation double layer network high speed rail network max-plus algebra |
| How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者: Hongyi Lin; Yang Liu; Shen Li; Xiaobo Qu
Adobe PDF(1497Kb) | 收藏 | 浏览/下载：237/143 | 提交时间：2023/08/10
Autonomous driving generative adversarial network (GAN) intelligent transportation system (ITS) traffic anomaly inspection traffic flow |
| Echo State Network With Probabilistic Regularization for Time Series Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1743-1753
作者: Xiufang Chen; Mei Liu; Shuai Li
Adobe PDF(3459Kb) | 收藏 | 浏览/下载：108/46 | 提交时间：2023/07/20
Echo state network (ESN) noise probabilistic regularization robustness |
| Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691
作者: Xinya Wang; Qian Hu; Yingsong Cheng; Jiayi Ma
Adobe PDF(22541Kb) | 收藏 | 浏览/下载：114/22 | 提交时间：2023/07/20
Deep learning hyperspectral image image fusion image super-resolution survey |
| Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者: Lili Fan; Shen Li; Ying Li; Bai Li; Dongpu Cao; Fei-Yue Wang
Adobe PDF(23502Kb) | 收藏 | 浏览/下载：124/16 | 提交时间：2023/06/14
Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |
| Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者: Fanghui Bi; Xin Luo; Bo Shen; Hongli Dong; Zidong Wang
Adobe PDF(2741Kb) | 收藏 | 浏览/下载：166/61 | 提交时间：2023/05/29
Data science high-dimensional and incomplete data knowledge acquisition industrial application nonnegative latent factor analysis (NLFA) proximal alternating direction method of multipliers representation learning |
| Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; Weiping Ding; Yike Guo; Alberto Carrassi; Marc Bocquet; Rossella Arcucci
Adobe PDF(17725Kb) | 收藏 | 浏览/下载：127/33 | 提交时间：2023/05/29
Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
