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| Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者: Yang Li; Xiao Wang ; Zhifan He; Ze Wang; Ke Cheng; Sanchuan Ding; Yijing Fan; Xiaotao Li; Yawen Niu; Shanpeng Xiao; Zhenqi Hao; Bin Gao; Huaqiang Wu
 Adobe PDF(12898Kb) |  收藏 | 浏览/下载：1/0 | 提交时间：2024/05/22
Automated optical inspection (AOI) deep learning defect detection printed circuit board assembly (PCBA) semantic segmentation |
| Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者: Zhiming Zhang; Shangce Gao; MengChu Zhou; Mengtao Yan; Shuyang Cao
Adobe PDF(7172Kb) | 收藏 | 浏览/下载：0/0 | 提交时间：2024/05/22
Convolutional neural network deep learning recurrent neural network turbulence prediction wind load prediction |
| 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：19/2 | 提交时间：2024/04/10
Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| 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：42/14 | 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：32/6 | 提交时间：2024/03/18
Deep transfer learning domain adaptation incorrect label annotation intelligent fault diagnosis rotating machines |
| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931
作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin
Adobe PDF(2091Kb) | 收藏 | 浏览/下载：35/14 | 提交时间：2024/03/18
Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者: Jiawen Kang; Junlong Chen; Minrui Xu; Zehui Xiong; Yutao Jiao; Luchao Han; Dusit Niyato; Yongju Tong; Shengli Xie
 Adobe PDF(6097Kb) | 收藏 | 浏览/下载：61/13 | 提交时间：2024/01/23
Avatar blockchain metaverses multi-agent deep reinforcement learning transformer 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 |
| Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
作者: Rui Wang; Zhiming Zhou; Kaiwen Li; Tao Zhang; Ling Wang; Xin Xu; Xiangke Liao
Adobe PDF(1841Kb) | 收藏 | 浏览/下载：238/154 | 提交时间：2024/01/02
Branch-and-bound (B&B) combinatorial optimization deep learning graph neural network imitation learning |
| Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者: Yangyang Li; Chaoqun Fei; Chuanqing Wang; Hongming Shan; Ruqian Lu
Adobe PDF(1815Kb) | 收藏 | 浏览/下载：122/41 | 提交时间：2023/08/10
Curvature regularization deep metric learning (DML) embedding learning geometry flow riemannian metric |
