书目名称 | Computational Intelligence Techniques for Combating COVID-19 |
编辑 | Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid |
视频video | http://file.papertrans.cn/233/232406/232406.mp4 |
概述 | Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19..Asserts all relevant research, key themes, comp |
丛书名称 | EAI/Springer Innovations in Communication and Computing |
图书封面 |  |
描述 | .This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way.. |
出版日期 | Book 2021 |
关键词 | CoronaVirus and computational intelligence; COVID-19 and computational intelligence; Fuzzy Systems and |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-68936-0 |
isbn_softcover | 978-3-030-68938-4 |
isbn_ebook | 978-3-030-68936-0Series ISSN 2522-8595 Series E-ISSN 2522-8609 |
issn_series | 2522-8595 |
copyright | Springer Nature Switzerland AG 2021 |