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基于平行测试的认知自动驾驶智能架构研究 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 2, 页码: 356-371
作者:  王晓;  张翔宇;  周锐;  田永林;  王建功;  陈龙;  孙长银
Adobe PDF(5843Kb)  |  收藏  |  浏览/下载：4/2  |  提交时间：2024/04/12
认知自动驾驶  平行测试  平行驾驶  车辆认知智能  
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：5/1  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
CFSL: A Credible Federated Self-Learning Framework 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 24, 页码: 21349-21362
作者:  Zhang, Weishan;  Bao, Zhicheng;  Liu, Yuru;  Xu, Liang;  Lu, Qinghua;  Ning, Huansheng;  Wang, Xiao;  Yang, Su;  Wang, Fei-Yue;  Li, Zengxiang
收藏  |  浏览/下载：8/0  |  提交时间：2024/03/26
Federated learning  Data models  Training  Internet of Things  Blockchains  Adaptation models  Smart contracts  Blockchain  consensus  federated learning  personalization  self-learning  
IEEE ITSC 2022 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 卷号: 15, 期号: 6, 页码: 237-242
作者:  Zhang, Nan;  Wu, Naiqi;  Li, Lingxi;  Tian, Yonglin;  Wang, Xiao
收藏  |  浏览/下载：10/0  |  提交时间：2024/02/22
Computational Experiments: A New Analysis Method for Cyber-Physical-Social Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 14
作者:  Xue, Xiao;  Shen, Yifan;  Yu, Xiangning;  Zhou, De-Yu;  Wang, Xiao;  Wang, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：54/0  |  提交时间：2023/12/21
Cloud manufacturing service ecosystem (CMSE)  computational experiments  cyber-physical-social systems (CPSSs)  experiment analysis  experiment design  
On Intelligent Mining With Parallel Intelligence 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4296-4300
作者:  Yang, Jianjian;  Huang, Qiankun;  Ge, Shirong;  Wang, Xiao;  Chen, Long;  Guo, Yinan;  Gui, Tianmu
收藏  |  浏览/下载：12/0  |  提交时间：2024/02/22
Data mining  Artificial intelligence  Task analysis  Industries  Production  Biology  Collaboration  Green mining  Industry 5.0  intelligent mining using parallel intelligence  Mining 5.0  mining MAPeM model  
Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting 期刊论文
DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 卷号: 9, 期号: 5, 页码: 1221-1229
作者:  Zhang, Weishan;  Chen, Xiao;  He, Ke;  Chen, Leiming;  Xu, Liang;  Wang, Xiao;  Yang, Su
收藏  |  浏览/下载：24/0  |  提交时间：2024/02/22
Photovoltaic power forecasting  Federated learning  Edge computing  CNN-LSTM  
Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 18
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
收藏  |  浏览/下载：92/0  |  提交时间：2023/11/16
Cyber-physical-social systems (CPSS)  artificial systems  computational experiments  parallel execution (ACP)  decentralized/distributed autonomous operations and organizations (DAO)  big AI models  
VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 9, 页码: 4198-4207
作者:  Tian, Yonglin;  Li, Xuan;  Zhang, Hui;  Zhao, Chen;  Li, Bai;  Wang, Xiao;  Wang, Xiao;  Wang, Fei-Yue
收藏  |  浏览/下载：103/0  |  提交时间：2023/12/21
Transformers  Task analysis  Autonomous vehicles  Planning  Biological system modeling  Navigation  Automation  Generative parallel transformers  end-to-end driving  transport automation  large-language models  federation of vehicular transformers  scenario engineering  
R(2)Fed: Resilient Reinforcement Federated Learning for Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 8, 页码: 8829-8840
作者:  Zhang, Weishan;  Yu, Fa;  Wang, Xiao;  Zeng, Xingjie;  Zhao, Hongwei;  Tian, Yonglin;  Wang, Fei-Yue;  Li, Longfei;  Li, Zengxiang
收藏  |  浏览/下载：71/0  |  提交时间：2023/11/17
Federated learning  non-independent identically distributed (non-IID) data  reinforcement learning