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资助机构:National Natural Science Foundation of China
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Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19
期刊论文
ADVANCED THEORY AND SIMULATIONS, 2021, 页码: 9
作者:
Ye, Yang
;
Zhang, Qingpeng
;
Cao, Zhidong
;
Chen, Frank Youhua
;
Yan, Houmin
;
Stanley, H. Eugene
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:200/0
  |  
提交时间:2021/12/28
coronavirus disease 2019
export restrictions
network
personal protective equipment
severe acute respiratory syndrome coronavirus 2
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis
期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Zhang, Zhi-Cheng
;
Zhang, Jun Jason
;
Hu, Ming
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:238/0
  |  
提交时间:2021/11/02
COVID-19 diagnose
Knowledge attention mechanism
Knowledge-based representation learning
Knowledge embedding
Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong
期刊论文
CHAOS, 2021, 卷号: 31, 期号: 10, 页码: 15
作者:
Zhou, Hanchu
;
Zhang, Qingpeng
;
Cao, Zhidong
;
Huang, Helai
;
Dajun Zeng, Daniel
收藏
  |  
浏览/下载:145/0
  |  
提交时间:2021/12/28
Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 10
作者:
Luo, Tianyi
;
Cao, Zhidong
;
Wang, Yuejiao
;
Zeng, Daniel
;
Zhang, Qingpeng
Adobe PDF(2265Kb)
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  |  
浏览/下载:245/36
  |  
提交时间:2022/01/27
COVID-19
Epidemics
Pandemics
Sociology
Market research
Mathematical models
Timing
Risk management
Statistics
Asymptomatic patients
COVID-19
epidemic rebound
strategy evaluation
transmission model
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:
Ouyang, Liwei
;
Yuan, Yong
;
Cao, Yumeng
;
Wang, Fei-Yue
Adobe PDF(1322Kb)
  |  
收藏
  |  
浏览/下载:275/58
  |  
提交时间:2021/08/15
Blockchain
Smart contracts
Federated learning
Learning markets
Collaborative early warning
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Zhang, Zhi-Cheng
;
Zhang, Jun J.
;
Hu, Ming
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:226/0
  |  
提交时间:2021/06/15
biomedical imaging
COVID‐
19
knowledge distillation
meta‐
learning
unsupervised learning
Donald J. Trump's Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 2, 页码: 279-293
作者:
Zheng, Xiaolong
;
Wang, Xiao
;
Li, Zepeng
;
Jing, Rongrong
;
Xu, Shuqi
;
Wang, Tao
;
Li, Lifang
;
Zhang, Zhenwen
;
Zhang, Qingpeng
;
Jiang, Huaiguang
;
Guo, Zhihua
;
Zhang, Xiaowei
;
Wang, Fei-Yue
Adobe PDF(9638Kb)
  |  
收藏
  |  
浏览/下载:297/51
  |  
提交时间:2021/05/17
Correlation
Social networking (online)
Blogs
Cyberspace
Complex networks
Media
Internet
Digital oligarchy
public attention
social influence
social perception
Trump
The collective wisdom in the COVID-19 research: Comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles
期刊论文
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 卷号: 104, 期号: 1, 页码: 1-6
作者:
Wang, Yuejiao
;
Cao, Zhidong
;
Zeng, Daniel Dajun
;
Zhang, Qingpeng
;
Luo, Tianyi
Adobe PDF(1028Kb)
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收藏
  |  
浏览/下载:219/31
  |  
提交时间:2021/05/17
COVID-19
Preprint
Peer review
Epidemiology
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:
Meng, Lingwei
;
Dong, Di
;
Li, Liang
;
Niu, Meng
;
Bai, Yan
;
Wang, Meiyun
;
Qiu, Xiaoming
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(4120Kb)
  |  
收藏
  |  
浏览/下载:301/52
  |  
提交时间:2021/03/02
COVID-19
Computed tomography
Lung
Hospitals
Biomedical imaging
Training
Coronavirus disease 2019 (COVID-19)
prognosis
computed tomography
deep learning
artificial intelligence
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:
Li, Cong
;
Dong, Di
;
Li, Liang
;
Gong, Wei
;
Li, Xiaohu
;
Bai, Yan
;
Wang, Meiyun
;
Hu, Zhenhua
;
Zha, Yunfei
;
Tian, Jie
Adobe PDF(2325Kb)
  |  
收藏
  |  
浏览/下载:290/46
  |  
提交时间:2021/03/02
COVID-19
radiomics
deep learning
computed tomography (CT)