中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共9条，第1-9条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：127/0  |  提交时间：2023/11/17
ACP  artificial intelligence  CPS  CPSS  Industry 4  0  Industry 5  parallel industries  parallel intelligence  
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：239/133  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
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：130/26  |  提交时间：2023/07/20
ACP  artificial intelligence  CPS  CPSS  Industry 4.0  Industry 5.0  parallel industries  parallel intelligence  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：223/67  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition 期刊论文
INFORMATION FUSION, 2022, 卷号: 80, 页码: 1-22
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：267/0  |  提交时间：2022/01/27
Meta-learning  Internet of Things  Graph model  Attention mechanisms  
Blockchain Powered Parallel Healthcare Systems Based on ACP Approach 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 4, 页码: 942-950
作者:  Wang, Shuai;  Wang, Jing;  Wang, Xiao;  Qiu, Tianyu;  Yuan, Yong;  Ouyang, Liwei;  Guo, Yuanyuan;  Wang, Feiyue
浏览  |  Adobe PDF(1453Kb)  |  收藏  |  浏览/下载：297/78  |  提交时间：2019/11/12
Artificial Systems + Computational Experiments + Parallel Execution (Acp)  Blockchain  Parallel Healthcare Systems (Phss)  Parallel Intelligence  
Blockchain-Powered Parallel Healthcare Systems Based on the ACP Approach 期刊论文
IEEE Transactions on Computational Social Systems, 2018, 卷号: 5, 期号: 4, 页码: 942-950
作者:  Shuai Wang;  Jing Wang;  Wang X(王晓);  Tianyu Qiu;  Yong Yuan;  Liwei Ouyang;  Yuanyuan Guo;  Fei-Yue Wang
浏览  |  Adobe PDF(1549Kb)  |  收藏  |  浏览/下载：513/235  |  提交时间：2019/08/28
Blockchain  
Moving from mass customization to social manufacturing: a footwear industry case study 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2019, 卷号: 32, 期号: 2, 页码: 194-205
作者:  Shang, Xiuqin;  Shen, Zhen;  Xiong, Gang;  Wang, Fei-Yue;  Liu, Sheng;  Nyberg, Timo R.;  Wu, Huaiyu;  Guo, Chao
浏览  |  Adobe PDF(2349Kb)  |  收藏  |  浏览/下载：491/125  |  提交时间：2019/07/12
Collaborative manufacturing  mass customisation  optimisation SM resources  
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
浏览  |  Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：321/99  |  提交时间：2018/01/08
Driver Behavior  Driver Distraction  Feedforward Neural Network (Ffnn)  Kinect  Random Forest (Rf).