Computational Intelligence for COVID-19 and Future Pandemics

Computational Intelligence for COVID-19 and Future Pandemics
Author :
Publisher : Springer Nature
Total Pages : 435
Release :
ISBN-10 : 9789811637834
ISBN-13 : 9811637830
Rating : 4/5 (830 Downloads)

Book Synopsis Computational Intelligence for COVID-19 and Future Pandemics by : Utku Kose

Download or read book Computational Intelligence for COVID-19 and Future Pandemics written by Utku Kose and published by Springer Nature. This book was released on 2022-01-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.


Computational Intelligence for COVID-19 and Future Pandemics Related Books

Computational Intelligence for COVID-19 and Future Pandemics
Language: en
Pages: 435
Authors: Utku Kose
Categories: Technology & Engineering
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as we
Computational Intelligence for Managing Pandemics
Language: en
Pages: 394
Authors: Aditya Khamparia
Categories: Computers
Type: BOOK - Published: 2021-09-07 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the
Understanding COVID-19: The Role of Computational Intelligence
Language: en
Pages: 569
Authors: Janmenjoy Nayak
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatmen
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Language: en
Pages: 436
Authors: Khalid Raza
Categories: Technology & Engineering
Type: BOOK - Published: 2020-10-16 - Publisher: Springer Nature

DOWNLOAD EBOOK

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students
Computational Intelligence Techniques for Combating COVID-19
Language: en
Pages: 392
Authors: Sandeep Kautish
Categories: Biomedical engineering
Type: BOOK - Published: 2021 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational bi