Computer Intelligence Against Pandemics : Tools and Methods to Face New Strains of COVID-19.

Format:

Book

Author/Creator:

Bhattacharyya, Siddhartha.

Contributor:

Sekhar Banerjee, Jyoti.

Gorbachev, Sergey.

Muhammad, Khan.

Koeppen, Mario.

Series:

Intelligent Biomedical Data Analysis Series

Intelligent Biomedical Data Analysis Series ; v.9

Language:

English

Physical Description:

1 online resource (386 pages)

Edition:

1st ed.

Place of Publication:

Berlin/Boston : Walter de Gruyter GmbH, 2023.

Summary:

This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

Contents:

Intro

Preface

Contents

Brief Biography of the Editors

List of contributors

A retrospective journey of world in pandemic

A review on AI-based medical image analysis for reliable and rapid diagnosis of SARS-CoV-2

Measuring association between COVID-19 with DASS-21 variables: a pilot study

Novel algorithm for COVID-19 variant detection from chest X-rays

Computational genomic sequencing and its importance for identifying the emerging variants of COVID-19

Comparative analysis of the impact of epidemiological modeling on COVID-19

Development and repurposing of drugs against COVID-19 using artificial intelligence

Health-care informatics to identify major psychological ailments during and beyond the pandemic: biomedical database-driven approach

Developing financial inclusion in the context of Covid-19 pandemic: the case of a developing country

Role of AI, IoT, and IoD in avoiding and minimizing risks of future pandemics

A prediction approach of coronavirus disease 2019 cases in India using regression analysis modeling of machine learning

Treatment for COVID-19 strains with artificial intelligence

Evaluation of deep learning models for identification and prediction of new strains of COVID-19

Role of IoT and drones in tackling COVID-19 and future pandemics: global use cases

Designing enhancements for App-based cab services to the commuters during COVID-19 era: a new normal solution on Indian scenario

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783110767681

3110767686

OCLC:

1393307439