The Avoidance and Detection Function of Artificial Intelligence in Covid-19
dc.contributor.author | Abdulateef, A.A. | |
dc.contributor.author | Mohammed, A.H. | |
dc.contributor.author | Abdulateef, I.A. | |
dc.date.accessioned | 2024-09-29T16:20:57Z | |
dc.date.available | 2024-09-29T16:20:57Z | |
dc.date.issued | 2021 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description | 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2021 -- 11 June 2021 through 13 June 2021 -- Ankara -- 171163 | en_US |
dc.description.abstract | The whole planet today is having to fight COVID-19 with big obstacles. The COVID-19 influenced several countries around the world between December 2019 and the present day. Many organisations and scientists seek to find a vaccine and to minimize the spread of COVID-19. Artificial Intelligence is one technology that can successfully address this virus (AI). In the case of other pathogens, artificial intelligence performed very well and could help us cope with the virus COVID-19, too. It is the imagination and the information of the people who use it which will help to overcome this dilemma. In some previous instances AI played a major role in virus prevention and identification. We have an ability to detect certain aspects of the AI because of the COVID-19 crisis. Machine learning that an AI subclass is used to identify patterns and to plan valuable knowledge based on recorded data sets. At the point where used entirely, AI can exceed human efforts by speed and differentiate designs from knowledge previously ignored. However many correct and appropriate data are needed for effective implementation of AI systems. This paper discusses the AI's role in COVID-19 prevention and detection and examines numerous technological aspects of AI. This paper would also clarify where AI will contribute with likely solutions to stop the spread of COVID-19. © 2021 IEEE. | en_US |
dc.identifier.doi | 10.1109/HORA52670.2021.9461280 | |
dc.identifier.isbn | 978-166544058-5 | |
dc.identifier.scopus | 2-s2.0-85114461936 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.uri | https://doi.org/10.1109/HORA52670.2021.9461280 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/9443 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | HORA 2021 - 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Coronavirus | en_US |
dc.subject | Covid-19 | en_US |
dc.subject | Data Analysis | en_US |
dc.subject | Machine Learning | en_US |
dc.title | The Avoidance and Detection Function of Artificial Intelligence in Covid-19 | en_US |
dc.type | Conference Object | en_US |