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Can I read Computational Intelligence for COVID-19 and Future Pandemics: Emerging Applications and Strategies (Disruptive Technologies and Digital Transformations for Society 5.0) on EtoBox?
Computational Intelligence for COVID-19 and Future Pandemics: Emerging Applications and Strategies (Disruptive Technologies and Digital Transformations for Society 5.0) by Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo is a nonfiction available to read on EtoBox.
What is Computational Intelligence for COVID-19 and Future Pandemics: Emerging Applications and Strategies (Disruptive Technologies and Digital Transformations for Society 5.0) about?
The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemi
Who reads Computational Intelligence for COVID-19 and Future Pandemics: Emerging Applications and Strategies (Disruptive Technologies and Digital Transformations for Society 5.0)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo
- Publisher
- Springer Singapore : Imprint: Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9789811637827
- Category
- nonfiction
- Subjects
- Computer Science, Science, Engineering
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