Computer Intelligence Against Pandemics

Tools and Methods to Face New Strains of COVID-19

Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen, Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Sergey Gorbachev, Khan Muhammad, Mario Koeppen

• Publisher: De Gruyter
• Year: 2023
• Topic: Computer Science
• eBook ISBN:
  9783110767759
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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

• Title Page
• Copyright
• Contents
• Dedication
• 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