Marvels of Artificial and Computational Intelligence in Life Sciences

Thirunavukkarasu Sivaraman, V. Subramanian Thangarasu, Ganesan Balakrishnan, Thirunavukkarasu Sivaraman, V. Subramanian Thangarasu, Ganesan Balakrishnan

• Publisher: Bentham Science Publishers
• Year: 2000
• Print ISBN:
  9789815136821
• eBook ISBN:
  9789815136807
• Topic: Computer Science
• Subtopic: Data Mining
• Index: Computer Science

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.

Table of contents

• Welcome
• Table of Content
• Title
• BENTHAM SCIENCE PUBLISHERS LTD.
• FOREWORD I
• PREFACE
• List of Contributors
• Artificial Intelligence for Infectious Disease Surveillance
• Recent Innovations in Artificial Intelligence (AI) Algorithms in Electrical and Electronic Engineering for Future Transformations
• An Introduction to Diabetes Drug Discovery in Biomedical Industry through Artificial Intelligence, Using Lichens' Secondary Metabolites
• Structural Bioinformatics and Artificial Intelligence Approaches in De Novo Drug Design
• Artificial Intelligence (AI) Game Changer in Cancer Biology
• AI-Based Energy Management for Domestic Appliances
• AI-Based Domestic Load Scheduling and Power Management for Renewable Energy Exporters
• Artificial Intelligence in Physical Science
• Artificial Intelligence Based Global Solar Radiation Prediction
• In silico Approaches to Tyrosine Kinase Inhibitors’ Development
• Computer-Aided Drug Discovery Studies in Ethiopian Plant Species
• Artificial Intelligence-genomic Studies in The Advancement of Agriculture
• Computational EPR and Optical Spectral Investigation of VO(II) Ion Doped in Aqualithiumaquabis (Malonato) Zincate Lattice
• 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
• Functional Prediction of Anti-methanogenic Targets from Methanobrevibacter Ruminantium M1 Operome
• Comparative Prediction of Electrical Interplay Systems in Methanothermobacter thermautotro-phicus ΔH and Metal-loving Bacteria