CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:5/2  |  提交时间:2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
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:37/8  |  提交时间:2024/03/18
Deep transfer learning  domain adaptation  incorrect label annotation  intelligent fault diagnosis  rotating machines  
Multi-Timescale Distributed Approach to Generalized-Nash-Equilibrium Seeking in Noncooperative Nonconvex Games 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 791-793
作者:  Banghua Huang;  Yang Liu;  Kit Ian Kou;  Weihua Gui
Adobe PDF(644Kb)  |  收藏  |  浏览/下载:97/34  |  提交时间:2024/02/19
Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis With Neuromorphic Computing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 788-790
作者:  Xinrui Chen;  Xiang Li;  Shupeng Yu;  Yaguo Lei;  Naipeng Li;  Bin Yang
Adobe PDF(24644Kb)  |  收藏  |  浏览/下载:88/24  |  提交时间:2024/02/19
An Incentive Mechanism for Federated Learning: A Continuous Zero-Determinant Strategy Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 88-102
作者:  Changbing Tang;  Baosen Yang;  Xiaodong Xie;  Guanrong Chen;  Mohammed A. A. Al-qaness;  Yang Liu
Adobe PDF(2968Kb)  |  收藏  |  浏览/下载:191/134  |  提交时间:2024/01/02
Federated learning (FL)  game theory  incentive mechanism  machine learning  zero-determinant strategy