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Parallel System Based Quantitative Assessment and Self-evolution for Artificial Intelligence of Active Power Corrective Control 期刊论文
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 卷号: 10, 期号: 1, 页码: 13-28
作者:  Zhang, Tianyun;  Zhang, Jun;  Wang, Feiyue;  Xu, Peidong;  Gao, Tianlu;  Zhang, Haoran;  Si, Ruiqi
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/03
AI quantitative intelligence assessment and self-evolution  automated reinforcement learning  Bayesian optimization  corrective control  parallel system  
FeaCo: Reaching Robust Feature-Level Consensus in Noisy Pose Conditions 会议论文
, Ottawa, Canada, 2023.10.27-2023.11.2
作者:  Gu JM(谷佳铭);  Jingyu Zhang;  Zhang MY(张沐阳);  Meng WL(孟维亮);  Xu SB(徐士彪);  Zhang JG(张吉光);  Zhang XP(张晓鹏)
Adobe PDF(5119Kb)  |  收藏  |  浏览/下载：23/6  |  提交时间：2024/06/11
A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS 期刊论文
IEEE Transactions on Industrial Informatics, 2024, 页码: 1-8
作者:  Xingxia Wang;  Yutong Wang;  Jing Yang;  Xiao Wang;  Zonglin Meng;  Zhaohai Liu;  Fei-Yue Wang
Adobe PDF(2770Kb)  |  收藏  |  浏览/下载：30/7  |  提交时间：2024/06/06
Oils  Fifth Industrial Revolution  Production  Fourth Industrial Revolution  Biology  Service robots  Transportation  Cyber-physical systems (CPS)  cyber-physical-social systems (CPSS)  Industry 4.0  Industry 5.0  parallel intelligence  parallel oil and gas  
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: 10.1109/TITS.2024.3400227
作者:  Zeyu Gao;  Yao Mu;  Chen Chen;  Jingliang Duan;  Ping Luo;  Yanfeng Lu;  Shengbo Eben Li
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：29/10  |  提交时间：2024/06/06
End-to-end autonomous driving  deep reinforcement learning  world model  
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
作者:  Guangzheng Hu;  Yuanheng Zhu;  Haoran Li;  Dongbin Zhao
Adobe PDF(2144Kb)  |  收藏  |  浏览/下载：26/4  |  提交时间：2024/06/05
Games  Q-learning  Task analysis  Optimization  Convergence  Training  Nash equilibrium  Multi-agent reinforcement learning  minimax-Q learning  two-team zero-sum Markov games  
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 6, 页码: 77-82
作者:  Zhao, Chen;  Dai, Xingyuan;  Yisheng Lv;  Tian, Yonglin;  Ren, Yuhai;  Wang, Fei-Yue
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载：26/7  |  提交时间：2024/05/28
Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model 期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:  Jiang, Bo;  Zhao, Yiyi;  Dong, Jianglin;  Hu, Jiangping
收藏  |  浏览/下载：72/0  |  提交时间：2024/02/22
Deffuant-Weisbush model  Inclusiveness-degree function  Signed network  Opinion formation  Black swan phenomenon  
IDO: Instance dual-optimization for weakly supervised object detection 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 18
作者:  Ren, Zhida;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(3668Kb)  |  收藏  |  浏览/下载：70/6  |  提交时间：2023/11/17
Deep learning  Weakly supervised learning  Object detection  Multiple instance learning  
Steps Toward Industry 5.0: Building "6S" Parallel Industries With Cyber-Physical-Social Intelligence 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 8, 页码: 1692-1703
作者:  Wang, Xingxia;  Yang, Jing;  Wang, Yutong;  Miao, Qinghai;  Wang, Fei-Yue;  Zhao, Aijun;  Deng, Jian-Ling;  Li, Lingxi;  Na, Xiaoxiang;  Vlacic, Ljubo
Adobe PDF(3058Kb)  |  收藏  |  浏览/下载：146/0  |  提交时间：2023/11/17
ACP  artificial intelligence  CPS  CPSS  Industry 4  0  Industry 5  parallel industries  parallel intelligence  
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：133/16  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control