Sandeep Kautish (editor) - Computational Intelligence Techniques for Combating COVID-19 (EAI/Springer Innovations in Communication and Computing)

Editors Note

The impact of information technologies is creating a new world yet not fully understood. The extent and speed of economic, life style and social changes already perceived in everyday life is hard to estimate without understanding the technological driving forces behind it. This series presents contributed volumes featuring the latest research and development in the various information engineering technologies that play a key role in this process.

The range of topics, focusing primarily on communications and computing engineering include, but are not limited to, wireless networks; mobile communication; design and learning; gaming; interaction; e-health and pervasive healthcare; energy management; smart grids; internet of things; cognitive radio networks; computation; cloud computing; ubiquitous connectivity, and in mode general smart living, smart cities, Internet of Things and more. The series publishes a combination of expanded papers selected from hosted and sponsored European Alliance for Innovation (EAI) conferences that present cutting edge, global research as well as provide new perspectives on traditional related engineering fields. This content, complemented with open calls for contribution of book titles and individual chapters, together maintain Springers and EAIs high standards of academic excellence. The audience for the books consists of researchers, industry professionals, advanced level students as well as practitioners in related fields of activity include information and communication specialists, security experts, economists, urban planners, doctors, and in general representatives in all those walks of life affected ad contributing to the information revolution.

Indexing: This series is indexed in Scopus, Ei Compendex, and zbMATH.

About EAI

EAI is a grassroots member organization initiated through cooperation between businesses, public, private and government organizations to address the global challenges of Europes future competitiveness and link the European Research community with its counterparts around the globe. EAI reaches out to hundreds of thousands of individual subscribers on all continents and collaborates with an institutional member base including Fortune 500 companies, government organizations, and educational institutions, provide a free research and innovation platform.

Through its open free membership model EAI promotes a new research and innovation culture based on collaboration, connectivity and recognition of excellence by community.

More information about this series at http://www.springer.com/series/15427

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Since the beginning of year 2020, human society has been going through a very tough phase globally, that is, an unexpected medical emergency where more than 200 countries of the world have been affected by the coronavirus (COVID-19). As of November 25, 2020, 1.4 million people have lost their lives across the world due to the COVID-19 outbreak. The death toll is still climbing. The USA, despite being the most developed country in the world, has already recorded the deaths of more than 260,000 people, which clearly shows that the most developed countries are also unable to control the COVID-19 pandemic. The coronavirus, which is a highly infectious and pathogenic virus, originated from Wuhan in December 2019, travelled the whole of China and spread around the world within 3 months of its origination. Genome analysis of the virus revealed that bats could be the possible reservoirs, which caused the spread of COVID-19.

Artificial intelligence (AI) and machine learning (ML) techniques have a great potential to serve as prevailing tools for combating COVID-19. AI, along with machine learning, computer vision applications, augmented reality and virtual reality (AR and VR) techniques, deep learning, and natural language processing , is capable of creating data science models and algorithms for pattern recognition, clarification, and accurate predictions in genome patterns of COVID-19. These functions can guide accurate recognitions, diagnosis patterns, predictions, and treatment of COVID-19 infections.

The primary aim of this book is to foster the need for extensive computational researches for combating COVID-19 in terms of adaptive computational modeling, synthesis, and analysis of biological systems using evolutionary methods and algorithms of computational intelligence. The book covers all computational approaches, that is, in silico methods ranging from all allied fields of data sciences and computational intelligenceoriented techniques. This book attempts to assert all relevant research, that is, key themes, complex adaptive systems, metrics, and paradigms, dedicated towards COVID-19, enabled with evolutionary methods of computational sciences. Also, this book lays emphasis on a digitally enabled fight back against the pandemic. In short, this book is a state-of-the-art document on the latest research in the field of computational intelligence and computational biological approaches related to combating COVID-19.