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| 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:46/6  |  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:56/13  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| What Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 809-815 作者: Fei-Yue Wang; Qinghai Miao; Lingxi Li; Qinghua Ni; Xuan Li; Juanjuan Li; Lili Fan; Yonglin Tian; Qing-Long Han Adobe PDF(571Kb)  |  收藏  |  浏览/下载:51/12  |  提交时间:2024/03/18 |
| Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239 作者: Yahui Liu; Bin Tian; Yisheng Lv; Lingxi Li; Fei-Yue Wang Adobe PDF(8541Kb)  |  收藏  |  浏览/下载:268/165  |  提交时间:2024/01/02 Content-based Transformer deep learning feature aggregator local attention point cloud classification |
| The TAO of Blockchain Intelligence for Intelligent Web 3.0 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2183-2186 作者: Juanjuan Li; Fei-Yue Wang Adobe PDF(146Kb)  |  收藏  |  浏览/下载:112/42  |  提交时间:2023/10/31 |
| Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080 作者: Yanfen Wang; Mengzhen Kang; Yali Liu; Juanjuan Li; Kai Xue; Xiujuan Wang; Jianqing Du; Yonglin Tian; Qinghua Ni; Fei-Yue Wang Adobe PDF(9632Kb)  |  收藏  |  浏览/下载:272/156  |  提交时间:2023/09/22 Carbon-water balance decision-support digital intelligence (DI) foundation models planning |
| AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881 作者: Yuanqi Qin; Wen Hua; Junchen Jin; Jun Ge; Xingyuan Dai; Lingxi Li; Xiao Wang; Fei-Yue Wang Adobe PDF(3244Kb)  |  收藏  |  浏览/下载:109/20  |  提交时间:2023/08/10 Conditional generative adversarial network signalized urban networks short-term link speed prediction |
| Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1822-1833 作者: Wei Xu; Chen Zhao; Jie Cheng; Yin Wang; Yiqing Tang; Tao Zhang; Zhiming Yuan; Yisheng Lv; Fei-Yue Wang Adobe PDF(3484Kb)  |  收藏  |  浏览/下载:128/61  |  提交时间:2023/08/10 High-speed railway reinforcement learning train timetable rescheduling Transformer |
| 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: Xingxia Wang; Jing Yang; Yutong Wang; Qinghai Miao; Fei-Yue Wang; Aijun Zhao; Jian-Ling Deng; Lingxi Li; Xiaoxiang Na; Ljubo Vlacic Adobe PDF(15811Kb)  |  收藏  |  浏览/下载:138/27  |  提交时间:2023/07/20 ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence |
| Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607 作者: Lili Fan; Shen Li; Ying Li; Bai Li; Dongpu Cao; Fei-Yue Wang Adobe PDF(23502Kb)  |  收藏  |  浏览/下载:109/14  |  提交时间:2023/06/14 Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |