CASIA OpenIR

浏览/检索结果: 共2条,第1-2条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 23, 页码: 13
作者:  Gao, Yuhang;  Si, Juanning;  Wu, Sijin;  Li, Weixian;  Liu, Hao;  Chen, Jianhu;  He, Qing;  Zhang, Yujin
收藏  |  浏览/下载:206/0  |  提交时间:2022/02/16
steady-state visual evoked potential (SSVEP)  brain-computer interface (BCI)  l1-regularized multiway canonical correlation analysis (L1-MCCA)  support vector machine (SVM)  particle swarm optimization (PSO)  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载:232/52  |  提交时间:2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography