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Contents

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© 2023 Walter de Gruyter GmbH, Berlin/Boston

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Kapitel in diesem Buch

  1. Frontmatter II
  2. Preface VII
  3. Contents XV
  4. Brief Biography of the Editors XVII
  5. List of contributors XXI
  6. A retrospective journey of world in pandemic 1
  7. A review on AI-based medical image analysis for reliable and rapid diagnosis of SARS-CoV-2 25
  8. Measuring association between COVID-19 with DASS-21 variables: a pilot study 49
  9. Novel algorithm for COVID-19 variant detection from chest X-rays 63
  10. Computational genomic sequencing and its importance for identifying the emerging variants of COVID-19 91
  11. Comparative analysis of the impact of epidemiological modeling on COVID-19 109
  12. Development and repurposing of drugs against COVID-19 using artificial intelligence 139
  13. Health-care informatics to identify major psychological ailments during and beyond the pandemic: biomedical database-driven approach 153
  14. Developing financial inclusion in the context of Covid-19 pandemic: the case of a developing country 173
  15. Role of AI, IoT, and IoD in avoiding and minimizing risks of future pandemics 187
  16. A prediction approach of coronavirus disease 2019 cases in India using regression analysis modeling of machine learning 223
  17. Treatment for COVID-19 strains with artificial intelligence 241
  18. Evaluation of deep learning models for identification and prediction of new strains of COVID-19 257
  19. Role of IoT and drones in tackling COVID-19 and future pandemics: global use cases 287
  20. Designing enhancements for App-based cab services to the commuters during COVID-19 era: a new normal solution on Indian scenario 315
  21. Index 357
Heruntergeladen am 19.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/9783110767681-toc/html
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