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Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1458-1475
作者:  Jing Liang;  Hongyu Lin;  Caitong Yue;  Ponnuthurai Nagaratnam Suganthan;  Yaonan Wang
Adobe PDF(2268Kb)  |  收藏  |  浏览/下载:56/21  |  提交时间:2024/05/22
Benchmark functions  diversity measure  evolutionary algorithms  multimodal multiobjective optimization  
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:46/15  |  提交时间:2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
基于静−动态特性协同感知的复杂工业过程运行状态评价 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 8, 页码: 1621-1634
作者:  褚菲;  许杨;  尚超;  王福利;  高福荣;  马小平
Adobe PDF(2106Kb)  |  收藏  |  浏览/下载:46/16  |  提交时间:2024/04/24
复杂工业过程  运行状态评价  静-动态特性协同  慢特征分析  稀疏学习  
Federated Learning with Privacy-preserving and Model IP-right-protection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 19-37
作者:  Qiang Yang;  Anbu Huang;  Lixin Fan;  Chee Seng Chan;  Jian Han Lim;  Kam Woh Ng;  Ding Sheng Ong;  Bowen Li
Adobe PDF(2634Kb)  |  收藏  |  浏览/下载:37/11  |  提交时间:2024/04/23
Federated learning  privacy-preserving machine learning  security  decentralized learning  intellectual property protection  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载:52/8  |  提交时间:2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 350-365
作者:  Yi-Jun Zhang;  Zhao-Fei Yu;  Jian. K. Liu;  Tie-Jun Huang
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载:77/28  |  提交时间:2024/04/23
Neural decoding  machine learning  deep learning  visual decoding  brain-inspired vision  
A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330
作者:  Alessandro Giuseppi;  Sabato Manfredi;  Antonio Pietrabissa
Adobe PDF(1462Kb)  |  收藏  |  浏览/下载:57/20  |  提交时间:2024/04/23
Federated learning (FedL)  deep learning  federated averaging (FedAvg)  machine learning (ML)  artificial intelligence  discrete-time consensus  distributed systems  
From Teleoperation to Autonomous Robot-assisted Microsurgery: A Survey 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 288-306
作者:  Dandan Zhang;  Weiyong Si;  Wen Fan;  Yuan Guan;  Chenguang Yang
Adobe PDF(1635Kb)  |  收藏  |  浏览/下载:61/15  |  提交时间:2024/04/23
Robot-assisted microsurgery (RAMS)  imaging and sensing  teleoperation  cooperative control  robot 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:90/27  |  提交时间:2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Coupled Dynamics and Integrated Control for Position and Attitude Motions of Spacecraft: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2187-2208
作者:  Feng Zhang;  Guangren Duan
Adobe PDF(1737Kb)  |  收藏  |  浏览/下载:167/56  |  提交时间:2023/10/31
Coupled position and attitude dynamic modeling  integrated position and attitude control  position and attitude coupling analysis  spacecraft  space missions