Marvels of Artificial and Computational Intelligence in Life Sciences
eBook - ePub

Marvels of Artificial and Computational Intelligence in Life Sciences

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eBook - ePub

Marvels of Artificial and Computational Intelligence in Life Sciences

Book details
Table of contents
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About This Book

Marvels of Artificial and Computational Intelligence in Life Sciences is a primer for scholars and students who are interested in the applications of artificial intelligence (AI and computational intelligence (CI) in life sciences and other industries. The book consists of 16 chapters (9 of which focus on AI and 7 which showcase the benefits of CI approaches to solve specific problems). Chapters are edited by subject experts who describe the roles and applications of AI and CI in different parts of our lives in a concise and lucid manner. The book covers the following key themes: AI Revolution in Healthcare and Drug Discovery:
AI's Impact on Biology and Energy Management
AI and CI in Physical Sciences and Predictive Modeling
Computational Biology The editors have compiled a good blend of topics in applied science and engineering to give readers a clear understanding of the multidisciplinary nature of the two facets of computing. Each chapter includes references for advanced readers.
Audience Researchers and industry professionals in the field of electronics and nanotechnology; students taking advanced courses in electronics and technology.

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Yes, you can access Marvels of Artificial and Computational Intelligence in Life Sciences by Thirunavukkarasu Sivaraman, V. Subramanian Thangarasu, Ganesan Balakrishnan in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Bentham Science Publishers
Year
2000
ISBN
9789815136807
Topic
Computer Science
Subtopic
Data Mining
Index
Computer Science

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD I
  6. PREFACE
  7. List of Contributors
  8. Artificial Intelligence for Infectious Disease Surveillance
  9. Recent Innovations in Artificial Intelligence (AI) Algorithms in Electrical and Electronic Engineering for Future Transformations
  10. An Introduction to Diabetes Drug Discovery in Biomedical Industry through Artificial Intelligence, Using Lichens' Secondary Metabolites
  11. Structural Bioinformatics and Artificial Intelligence Approaches in De Novo Drug Design
  12. Artificial Intelligence (AI) Game Changer in Cancer Biology
  13. AI-Based Energy Management for Domestic Appliances
  14. AI-Based Domestic Load Scheduling and Power Management for Renewable Energy Exporters
  15. Artificial Intelligence in Physical Science
  16. Artificial Intelligence Based Global Solar Radiation Prediction
  17. In silico Approaches to Tyrosine Kinase Inhibitors’ Development
  18. Computer-Aided Drug Discovery Studies in Ethiopian Plant Species
  19. Artificial Intelligence-genomic Studies in The Advancement of Agriculture
  20. Computational EPR and Optical Spectral Investigation of VO(II) Ion Doped in Aqualithiumaquabis (Malonato) Zincate Lattice
  21. Morphological and Structural Characterizations of Strontium in Strontium Sulphate as a Perceptive Factor in the Computational Method for the Forensic Analysis of Tool Paint by Non-destructive Analytical Studies
  22. Functional Prediction of Anti-methanogenic Targets from Methanobrevibacter Ruminantium M1 Operome
  23. Comparative Prediction of Electrical Interplay Systems in Methanothermobacter thermautotro-phicus ΔH and Metal-loving Bacteria