南方科技大学知识苑(SUSTech KC): Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access

题名	Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access
作者	Tai，Yonghang 1; Gao，Bixuan 1; Li，Qiong 1; Yu，Zhengtao 2; Zhu，Chunsheng3 ; Chang，Victor 4
发表日期	2021-11-01
DOI	10.1109/JIOT.2021.3055804
发表期刊	IEEE Internet of Things Journal 影响因子和分区
ISSN	2372-2541
卷号	8 期号:21页码:15965-15976
关键词	Auxiliary classifier generative adversarial network (ACGAN) COVID-19 extended reality (XR) Internet of Medical Things (IoMT) security
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343340
引用统计	被引频次[WOS]：29
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/221820
专题	南方科技大学未来网络研究院
作者单位	1.Yunnan Normal University 2.Kunming University of Science and Technology 3.Southern University of Science and Technology, Shenzhen, China 4.Teesside University, Middlesbrough, U.K
推荐引用方式 GB/T 7714	Tai，Yonghang,Gao，Bixuan,Li，Qiong,et al. Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access[J]. IEEE Internet of Things Journal,2021,8(21):15965-15976.
APA	Tai，Yonghang,Gao，Bixuan,Li，Qiong,Yu，Zhengtao,Zhu，Chunsheng,&Chang，Victor.(2021).Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access.IEEE Internet of Things Journal,8(21),15965-15976.
MLA	Tai，Yonghang,et al."Trustworthy and Intelligent COVID-19 Diagnostic IoMT Through XR and Deep-Learning-Based Clinic Data Access".IEEE Internet of Things Journal 8.21(2021):15965-15976.