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Multi-Axis Attention With Convolution Parallel Block for Organoid Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1295-1297
作者:  Pengwei Hu;  Xun Deng;  Feng Tan;  Lun Hu
Adobe PDF(1525Kb)  |  收藏  |  浏览/下载：34/12  |  提交时间：2024/04/10
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：28/4  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
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：33/7  |  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：39/12  |  提交时间：2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877
作者:  Elham Javanfar;  Mehdi Rahmani
Adobe PDF(1291Kb)  |  收藏  |  浏览/下载：26/4  |  提交时间：2024/03/18
Data-based filter  maximum likelihood estimation  unknown covariance  weighted maximum likelihood estimation  weighted sum-of-norms clustering  
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：27/9  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 581-594
作者:  Zhaohui Jiang;  Chuan Xu;  Jinshi Liu;  Weichao Luo;  Zhiwen Chen;  Weihua Gui
Adobe PDF(16387Kb)  |  收藏  |  浏览/下载：35/6  |  提交时间：2024/02/19
Copper disc casting machine  digital twin (DT)  mechanism modeling  self-optimization  
Multi-UAVs Collaborative Path Planning in the Cramped Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 529-538
作者:  Siyuan Feng;  Linzhi Zeng;  Jining Liu;  Yi Yang;  Wenjie Song
Adobe PDF(37781Kb)  |  收藏  |  浏览/下载：74/19  |  提交时间：2024/01/23
Collision avoidance  conflict resolution  multi-unmanned aerial vehicles (UAVs) system  path planning  
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：60/13  |  提交时间：2024/01/23
Avatar  blockchain  metaverses  multi-agent deep reinforcement learning  transformer  UAVs  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载：89/16  |  提交时间：2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications