Computer Intelligence Against Pandemics : : Tools and Methods to Face New Strains of COVID-19 / / ed. by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1
• MitwirkendeR: Afshar Alam, M.,; Aithal, Yukthi R.,; Alam, Mehtab,; Aniruddha, Aniruddha,; Bandyopadhyay, Sayanee,; Banerjee, Jyoti Sekhar,; Bangar Raju, Totakura,; Bhattacharjee, Subhasree,; Bhattacharya, Aparajita,; Biswas, Sagnick,; Chakraborty, Arpita,; Daripa, Soumyadip,; Das, Kunal,; Das, Madorina Paul,; Deb Das, Rahul,; Debnath, Surajit,
• HerausgeberIn: Bhattacharyya, Siddhartha,; Gorbachev, Sergey,; Koeppen, Mario,; Muhammad, Khan,; Sekhar Banerjee, Jyoti,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Series: Intelligent Biomedical Data Analysis , 9
• Physical Description: 1 online resource (XX, 355 p.)

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.

Table of Contents

Frontmatter -- 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