Artificial Intelligence in Microbiology
eBook - ePub

Artificial Intelligence in Microbiology

Environmental, Food, Plant and Clinical Microbiology

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Microbiology

Environmental, Food, Plant and Clinical Microbiology

About this book

Due to their high predictive and informative potential, machine learning and deep learning have emerged as essential tools to advance microbiome research. This book provides insights and research findings related to AI in microbiology and demonstrates how AI can be applied to solve complex problems, accelerate research, and improve our understanding of microorganisms. It covers AI and machine learning techniques in plant growth and plant protection, in clinical, food and environmental microbiology. AI in microbiology is an interdisciplinary field, and this book will help bridge the gap between computer science, data analytics, and microbiology.

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Yes, you can access Artificial Intelligence in Microbiology by Pankaj Kumar,Vivekanand Vivekanand in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. Frontmatter
  5. Dedication
  6. Contents
  7. 1 Understanding artificial intelligence: an introduction, history, and foundations
  8. 2 Basics of machine learning (ML) and deep learning (DL), secondary data source and training, application and AI tools, challenges, and future perspectives of AI
  9. 3 Cellular image classification and identification of genetic variations using artificial intelligence
  10. 4 Artificial intelligence in bacterial staining and cell counting
  11. 5 Use of artificial intelligence in the prediction of microbial species
  12. 6 Transformative AI applications in environmental microbiology: pioneering research and sustainable solutions
  13. 7 AI in food production and processing: applications and challenges
  14. 8 Artificial intelligence in microbial food safety
  15. 9 AI in plant growth promotion and plant disease management
  16. 10 Role of artificial intelligence (AI) and machine learning (ML) in disease forecasting and disease epidemiology
  17. 11 Artificial intelligence in diagnostics
  18. 12 Artificial intelligence in bacterial culture plate images
  19. 13 Prediction of antimicrobial activity using artificial intelligence
  20. 14 Artificial intelligence and MALDI-TOF MS
  21. 15 Artificial intelligence in clinical microbiology: regeneration of diagnostics techniques using GANs and reinforcement learning for drug discovery and development in human welfare
  22. 16 Reimagining perfusion bioreactors with artificial intelligence
  23. Index
  24. Index