Computer Intelligence Against Pandemics: Tools and Methods to Face New Strains of COVID-19
โ Scribed by Siddhartha Bhattacharyya (editor); Jyoti Sekhar Banerjee (editor); Sergey Gorbachev (editor); Khan Muhammad (editor); Mario Koeppen (editor)
- Publisher
- De Gruyter
- Year
- 2023
- Tongue
- English
- Leaves
- 386
- Series
- Intelligent Biomedical Data Analysis; 9
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 โ 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 โ 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.
โฆ Table of Contents
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
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