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| A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1777-1785 作者: Xiaofeng Yuan; Weiwei Xu; Yalin Wang; Chunhua Yang; Weihua Gui Adobe PDF(1400Kb)  |  收藏  |  浏览/下载:15/8  |  提交时间:2024/07/16 Deep residual partial least squares (DRPLS) nonlinear function quality prediction soft sensor |
| Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330 作者: Jiaxin Ren; Jingcheng Wen; Zhibin Zhao; Ruqiang Yan; Xuefeng Chen; Asoke K. Nandi Adobe PDF(16165Kb)  |  收藏  |  浏览/下载:42/9  |  提交时间:2024/05/22 Out-of-distribution detection traceability analysis trustworthy fault diagnosis uncertainty quantification |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:71/17  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者: Tao Wang; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:84/25  |  提交时间:2024/03/18 Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries |
| Reinforcement Learning in Process Industries: Review and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:70/25  |  提交时间:2024/01/23 Process control process systems engineering reinforcement learning |
| 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:235/143  |  提交时间:2023/08/10 Autonomous driving generative adversarial network (GAN) intelligent transportation system (ITS) traffic anomaly inspection traffic flow |
| 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:112/22  |  提交时间:2023/07/20 Deep learning hyperspectral image image fusion image super-resolution survey |
| MUTS-Based Cooperative Target Stalking for A Multi-USV System 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1582-1592 作者: Chengcheng Wang; Yulong Wang; Qing-Long Han; Yunkai Wu Adobe PDF(4293Kb)  |  收藏  |  浏览/下载:121/45  |  提交时间:2023/06/14 Cooperative target stalking improved deep reinforcement learning multi-unmanned surface vehicle (multi-USV) systems V-type probabilistic data extraction |
| Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461 作者: Xiaoyu Jiang; Xiangyin Kong; Zhiqiang Ge Adobe PDF(25936Kb)  |  收藏  |  浏览/下载:135/43  |  提交时间:2023/05/29 Curse of dimensionality data augmentation data-driven modeling industrial processes machine learning |
| STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238 作者: Zebing Wei; Hongxia Zhao; Zhishuai Li; Xiaojie Bu; Yuanyuan Chen; Xiqiao Zhang; Yisheng Lv; Fei-Yue Wang Adobe PDF(7068Kb)  |  收藏  |  浏览/下载:305/75  |  提交时间:2023/01/03 Deep learning graph neural network (GNN) multi-stream spatial-temporal feature extraction temporal graph traffic prediction |