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A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1681-1694
作者:  Qiuyu Zhang;  Lipeng Wang;  Hao Meng;  Wen Zhang;  Genghua Huang
Adobe PDF(10728Kb)  |  收藏  |  浏览/下载：32/11  |  提交时间：2024/06/07
3D point clouds dataset  dynamic tail wave  fog simulation  rainy simulation  simulated data  
Low-Rank Optimal Transport for Robust Domain Adaptation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1667-1680
作者:  Bingrong Xu;  Jianhua Yin;  Cheng Lian;  Yixin Su;  Zhigang Zeng
Adobe PDF(3368Kb)  |  收藏  |  浏览/下载：28/13  |  提交时间：2024/06/07
Domain adaptation  low-rank constraint  noise corruption  optimal transport  
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:  Kun Jiang;  Wenzhang Liu;  Yuanda Wang;  Lu Dong;  Changyin Sun
Adobe PDF(2128Kb)  |  收藏  |  浏览/下载：25/8  |  提交时间：2024/06/07
Latent variable model  maximum entropy  multi-agent reinforcement learning (MARL)  multi-agent system  
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：25/5  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316
作者:  Tianyu Shen;  Jinlin Sun;  Shihan Kong;  Yutong Wang;  Juanjuan Li;  Xuan Li;  Fei-Yue Wang
Adobe PDF(682Kb)  |  收藏  |  浏览/下载：43/14  |  提交时间：2024/05/22
Artificial intelligence  Chatbots  Autonomous systems  Intelligent systems  Robots  Digital humans  Robot kinematics  Learning (artificial intelligence)  Biological system modeling  Computational modeling  Human-robot interaction  Complex systems  Deep learning  Reinforcement learning  Large language models  
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：51/6  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
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：44/3  |  提交时间：2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载：62/27  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
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：56/10  |  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：49/15  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks