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Collective Movement Simulation: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 452-480
作者:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
Adobe PDF(1439Kb)  |  收藏  |  浏览/下载：32/9  |  提交时间：2024/05/23
Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：180/105  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
基于区块链的传染病监测与预警技术 期刊论文
智能科学与技术学报, 2020, 页码: 135-143
作者:  欧阳丽炜;  袁勇;  郑心湖;  张俊;  王飞跃
Adobe PDF(888Kb)  |  收藏  |  浏览/下载：87/41  |  提交时间：2023/06/06
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载：108/29  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2022, 卷号: 16, 期号: 2, 页码: 276-288
作者:  Wang, Haishuai;  Tao, Guangyu;  Ma, Jiali;  Jia, Shangru;  Chi, Lianhua;  Yang, Hong;  Zhao, Ziping;  Tao, Jianhua
收藏  |  浏览/下载：369/0  |  提交时间：2022/07/25
COVID-19  Predictive models  Mathematical models  Data models  Pandemics  Market research  Biological system modeling  COVID-19  generative adversarial networks  time series prediction  SIR simulation  
Data science approaches to confronting the COVID-19 pandemic: a narrative review 期刊论文
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2022, 卷号: 380, 期号: 2214, 页码: 20
作者:  Zhang, Qingpeng;  Gao, Jianxi;  Wu, Joseph T.;  Cao, Zhidong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：169/0  |  提交时间：2021/12/28
infectious disease  mathematical modelling  data science  big data  COVID-19  
Fighting COVID-19 and Future Pandemics With the Internet of Things: Security and Privacy Perspectives 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1477-1499
作者:  Mohamed Amine Ferrag;  Lei Shu;  Kim-Kwang Raymond Choo
Adobe PDF(2997Kb)  |  收藏  |  浏览/下载：169/40  |  提交时间：2021/09/03
Blockchain  COVID-19  healthcare  privacy  SARS-CoV-2  security  
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：321/73  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203
作者:  Akash Gupta;  Anshuman Singh;  Deepak Bharadwaj;  Amit Kumar Mondal
Adobe PDF(1295Kb)  |  收藏  |  浏览/下载：228/61  |  提交时间：2021/04/22
COVID-19  coronavirus  telepresence  delivery robots  medical robots  
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：343/59  |  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