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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：2/0  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载：20/2  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者:  Dezhen Xiong;  Daohui Zhang;  Yaqi Chu;  Yiwen Zhao;  Xingang Zhao
Adobe PDF(5061Kb)  |  收藏  |  浏览/下载：28/7  |  提交时间：2024/04/10
Electromyography  human-robot-environment interaction (HREI)  human-robot interaction (HRI)  semiautonomous  sensory feedback  
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：43/14  |  提交时间：2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:  Bin Yang;  Yaguo Lei;  Xiang Li;  Naipeng Li;  Asoke K. Nandi
Adobe PDF(18822Kb)  |  收藏  |  浏览/下载：35/7  |  提交时间：2024/03/18
Deep transfer learning  domain adaptation  incorrect label annotation  intelligent fault diagnosis  rotating machines  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：29/9  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501
作者:  Nianyin Zeng;  Xinyu Li;  Peishu Wu;  Han Li;  Xin Luo
Adobe PDF(12478Kb)  |  收藏  |  浏览/下载：65/17  |  提交时间：2024/01/23
Attention mechanism  knowledge distillation (KD)  object detection  tensor decomposition (TD)  unmanned aerial vehicles (UAVs)  
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载：233/160  |  提交时间：2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218
作者:  Zeyi Zhang;  Hao Jiang;  Dong Shen;  Samer S. Saab
Adobe PDF(1892Kb)  |  收藏  |  浏览/下载：124/72  |  提交时间：2024/01/02
Data-driven algorithms  incomplete information  iterative learning control  gradient information  unachievable problems  
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：115/25  |  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