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Parallel Crime Scene Analysis Based on ACP Approach 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 1, 页码: 244-255
作者:  Wang, Shuai;  Wang, Xiao;  Ye, Peijun;  Yuan, Yong;  Liu, Shuo;  Wang, Feiyue
浏览  |  Adobe PDF(2590Kb)  |  收藏  |  浏览/下载:263/75  |  提交时间:2019/11/12
Artificial Societies  Computational Experiments  Parallel Execution  Crime Scene Analysis  Parallel Systems  
A General Cognitive Architecture for Agent-Based Modeling in Artificial Societies 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 1, 页码: 176-185
作者:  Ye,Peijun
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Agent-based Modeling  Artificial Society  Cognitive Architecture (Ca)  
Societies 5.0: A New Paradigm for Computational Social Systems Research 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 1, 页码: 2-8
作者:  Fei-Yue Wang;  Yong Yuan;  Xiao Wang;  Rui Qin
浏览  |  Adobe PDF(816Kb)  |  收藏  |  浏览/下载:356/106  |  提交时间:2018/10/09
Societies 5.0  
Parallel Crime Scene Analysis Based on ACP Approach 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 1, 页码: 244-255
作者:  Shuai Wang;  Xiao Wang;  Peijun Ye;  Yong Yuan;  Shuo Liu;  Fei-Yue Wang
浏览  |  Adobe PDF(2590Kb)  |  收藏  |  浏览/下载:441/175  |  提交时间:2018/10/09
Artificial Societies  Computational Experiments And Parallel Execution (Acp) Approach  Computational Experiments  Crime Scene Analysis  Parallel Systems.  
Computational Dissemination: Toward Precision and Smart Impacts for Computational Social Systems 期刊论文
IEEE Transactions on Computational Social Systems, 2017, 卷号: 4, 期号: 4, 页码: 193-195
作者:  Fei-Yue Wang
浏览  |  Adobe PDF(355Kb)  |  收藏  |  浏览/下载:156/42  |  提交时间:2018/01/10
Computational Social  
Identification and analysis of driver postures for in-vehicle driving activities and secondary tasks recognition 期刊论文
IEEE Transactions on Computational Social Systems, 2017, 卷号: PP, 期号: 99, 页码: 1-14
作者:  Yang Xing;  Chen Lv;  Zhaozhong Zhang;  Huaji Wang;  Xiaoxiang Na;  Dongpu Cao;  Efstathios Velenis;  Fei-Yue Wang
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Driver Behavior  Driver Distraction  Feedforward Neural Network (Ffnn)  Kinect  Random Forest (Rf).