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Lesion-specific cortical activation following sensory stimulation in patients with subacute stroke 期刊论文
Journal of NeuroEngineering and Rehabilitation, 2023, 卷号: 20, 期号: 155, 页码: 1-15
作者:  Li W(李伟);  Chong Li;  Aixian Liu;  Ping‑Ju Lin;  Linhong Mo;  Hongliang Zhao;  Quan Xu;  Xiangzun Meng;  Linhong Ji
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载：31/14  |  提交时间：2024/06/28
Sensory stimulation  
A Novel Approach to the Analysis of Altered Human Motor Synergistic Structures 会议论文
, Macau, China, November 9-11
作者:  Jingyao Chen;  Chen Wang;  Ningcun Xu;  Zeng-Guang Hou;  Liang Peng;  Pingye Deng;  Pu Zhang;  Chutian Zhang
Adobe PDF(543Kb)  |  收藏  |  浏览/下载：39/16  |  提交时间：2024/06/21
Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A 期刊论文
THROMBOSIS RESEARCH, 2023, 卷号: 232, 页码: 43-53
作者:  Ai, Di;  Cui, Chang;  Tang, Yongqiang;  Wang, Yan;  Zhang, Ningning;  Zhang, Chenyang;  Zhen, Yingzi;  Li, Gang;  Huang, Kun;  Liu, Guoqing;  Chen, Zhenping;  Zhang, Wensheng;  Wu, Runhui
收藏  |  浏览/下载：45/0  |  提交时间：2024/03/26
Haemophilia  Children  Machine learning  Bleeding predictive modelling  Physical activity  
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：152/0  |  提交时间：2023/11/17
ACP  artificial intelligence  CPS  CPSS  Industry 4  0  Industry 5  parallel industries  parallel intelligence  
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
Adobe PDF(3483Kb)  |  收藏  |  浏览/下载：146/2  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis