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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：28/7  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者:  Dezhen Xiong;  Daohui Zhang;  Yaqi Chu;  Yiwen Zhao;  Xingang Zhao
Adobe PDF(5061Kb)  |  收藏  |  浏览/下载：10/3  |  提交时间：2024/04/10
Electromyography  human-robot-environment interaction (HREI)  human-robot interaction (HRI)  semiautonomous  sensory feedback  
A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 377-390
作者:  Honghao Zhu;  MengChu Zhou;  Yu Xie;  Aiiad Albeshri
Adobe PDF(2674Kb)  |  收藏  |  浏览/下载：38/16  |  提交时间：2024/01/23
Credit card fraud detection (CCFD)  dandelion algorithm (DA)  feature selection  normal sowing operator  
Process Monitoring Based on Temporal Feature Agglomeration and Enhancement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 825-827
作者:  Xiao Liang;  Weiwu Yan;  Yusun Fu;  Huihe Shao
Adobe PDF(398Kb)  |  收藏  |  浏览/下载：129/42  |  提交时间：2023/03/02
A Novel Parameter-Optimized Recurrent Attention Network for Pipeline Leakage Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1064-1076
作者:  Tong Sun;  Chuang Wang;  Hongli Dong;  Yina Zhou;  Chuang Guan
Adobe PDF(3211Kb)  |  收藏  |  浏览/下载：186/59  |  提交时间：2023/03/22
Anomaly-attention mechanism (AM)  long short-term memory (LSTM)  parameter-optimized recurrent attention network (PRAN)  particle swarm optimization (PSO)  pipeline leakage detection (PLD)  
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121
作者:  Yue Zhou;  Xin Luo;  MengChu Zhou
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：122/61  |  提交时间：2023/04/26
Big data analysis.  cryptocurrency transaction network embedding (CTNE)  dynamic network  network embedding  network representation  static network  
Driver-Centric Velocity Prediction With Multidimensional Fuzzy Granulation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 547-549
作者:  Ji Li;  Quan Zhou;  Xu He;  Hongming Xu
Adobe PDF(673Kb)  |  收藏  |  浏览/下载：180/48  |  提交时间：2023/01/16
A Survey on Negative Transfer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 305-329
作者:  Wen Zhang;  Lingfei Deng;  Lei Zhang;  Dongrui Wu
Adobe PDF(2739Kb)  |  收藏  |  浏览/下载：229/96  |  提交时间：2023/01/16
Domain adaptation  domain similarity  negative transfer  positive transfer  transfer learning  
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
Adobe PDF(2887Kb)  |  收藏  |  浏览/下载：475/334  |  提交时间：2023/01/03
Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：86/29  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth