Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
TLDR
An extensive survey on the use of blockchain andAI for combating coronavirus (COVID-19) epidemics based on the rapidly emerging literature and introduces a new conceptual architecture which integrates blockchain and AI specific for COVID- 19 fighting.Citations
More filters
Journal ArticleDOI
6G Internet of Things: A Comprehensive Survey
Dinh C. Nguyen,Ming Ding,Pubudu N. Pathirana,Aruna Seneviratne,Jun Li,Dusit Niyato,Octavia A. Dobre,H. Vincent Poor +7 more
TL;DR: In this paper, the authors explore the emerging opportunities brought by 6G technologies in IoT networks and applications, by conducting a holistic survey on the convergence of 6G and IoT, and highlight interesting research challenges and point out potential directions to spur further research in this promising area.
Journal ArticleDOI
COVID-19 open source data sets: a comprehensive survey
TL;DR: This survey is motivated by the open source efforts that can be mainly categorized as (a) COVID-19 diagnosis from CT scans, X-ray images, and cough sounds, (b) CO VID-19 case reporting, transmission estimation, and prognosis from epidemiological, demographic, and mobility data, (c) COvid-19 emotional and sentiment analysis from social media, and (d) knowledge-based discovery and semantic analysis from the collection of scholarly articles covering COVID.
Journal ArticleDOI
COVID-19 and hospitality 5.0: Redefining hospitality operations
TL;DR: In this article, the authors investigated the effects of past pandemics and epidemics on the global hospitality industry, and how the industry responded to them, and further explored the role of technology in ensuring hygiene and cleanliness.
Journal ArticleDOI
Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies
TL;DR: In this article , the authors present a set of up-to-date bibliometric, network, and thematic analyses to identify the influential contributors, main research streams, and disruption management strategies related to the SC performance under the COVID-19 settings.
Journal ArticleDOI
Federated Learning for Smart Healthcare: A Survey
TL;DR: A comprehensive survey on the use of federated learning in smart healthcare can be found in this paper , where the authors provide a state-of-the-art review on the emerging applications of FL in key healthcare domains, including health data management, remote health monitoring, medical imaging, and COVID-19 detection.
References
More filters
Book
Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
Journal ArticleDOI
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Peng Zhou,Xing-Lou Yang,Xian Guang Wang,Ben Hu,Lei Zhang,Wei Zhang,Hao Rui Si,Yan Zhu,Bei Li,Chao Lin Huang,Hui-Dong Chen,Jing Chen,Yun Luo,Hua Guo,Ren Di Jiang,Meiqin Liu,Ying Chen,Xu Rui Shen,Xi Wang,Xiao Shuang Zheng,Kai Zhao,Quanjiao Chen,Fei Deng,Lin Lin Liu,Bing Yan,Fa Xian Zhan,Yan-Yi Wang,Gengfu Xiao,Zhengli Shi +28 more
TL;DR: Identification and characterization of a new coronavirus (2019-nCoV), which caused an epidemic of acute respiratory syndrome in humans in Wuhan, China, and it is shown that this virus belongs to the species of SARSr-CoV, indicates that the virus is related to a bat coronav virus.
Journal ArticleDOI
Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention
Zunyou Wu,Jennifer M. McGoogan +1 more
TL;DR: Hospitalised COVID-19 patients are frequently elderly subjects with co-morbidities receiving polypharmacy, all of which are known risk factors for d
Journal ArticleDOI
A survey on deep learning in medical image analysis
Geert Litjens,Thijs Kooi,Babak Ehteshami Bejnordi,Arnaud Arindra Adiyoso Setio,Francesco Ciompi,Mohsen Ghafoorian,Jeroen van der Laak,Bram van Ginneken,Clara I. Sánchez +8 more
TL;DR: This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year, to survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks.
Journal ArticleDOI
Remdesivir for the Treatment of Covid-19 - Final Report.
John H. Beigel,Kay M. Tomashek,Lori E. Dodd,Aneesh K. Mehta,Barry S. Zingman,Andre C. Kalil,Elizabeth L. Hohmann,Helen Y. Chu,Annie Luetkemeyer,Susan Kline,Diego Lopez de Castilla,Robert W. Finberg,Kerry Dierberg,Victor F. Tapson,Lanny Hsieh,Thomas F. Patterson,Roger Paredes,Daniel A. Sweeney,William R. Short,Giota Touloumi,David Chien Lye,Norio Ohmagari,Myoung-don Oh,Guillermo M. Ruiz-Palacios,Thomas Benfield,Gerd Fätkenheuer,Mark G. Kortepeter,Robert L. Atmar,C. Buddy Creech,JD Lundgren,Abdel G. Babiker,Sarah Pett,James D. Neaton,Timothy Burgess,Tyler Bonnett,Michelle Green,Mat Makowski,Anu Osinusi,Seema U Nayak,H. Clifford Lane +39 more
TL;DR: The data show that remdesivir was superior to placebo in shortening the time to recovery in adults who were hospitalized with Covid-19 and had evidence of lower respiratory tract infection.