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Marvels of Artificial and Computational Intelligence in Life Sciences.

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 fo...

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Bibliographic Details
Main Author: Sivaraman, Thirunavukkarasu
Other Authors: Thangarasu, V. Subramanian, Balakrishnan, Ganesan
Format: eBook
Language:English
Published: Sharjah : Bentham Science Publishers, 2023.
Subjects:
Artificial intelligence.
Artificial intelligence > Social aspects.
Artificial intelligence > Medical applications.
Computational intelligence.
artificial intelligence.
Online Access: Full text (MFA users only)
ISBN:9789815136807
9815136801
Local Note:ProQuest Ebook Central
Table of Contents:
  • Cover
  • Title
  • Copyright
  • End User License Agreement
  • Contents
  • Foreword I
  • Foreword II
  • Preface
  • List of Contributors
  • Artificial Intelligence for Infectious Disease Surveillance
  • Sathish Sankar1,*, Pitchaipillai Sankar Ganesh1 and Rajalakshmanan Eswaramoorthy2
  • INTRODUCTION
  • CONCLUSION
  • ACKNOWLEDGEMENT
  • REFERENCES
  • Recent Innovations in Artificial Intelligence (AI) Algorithms in Electrical and Electronic Engineering for Future Transformations
  • S. P. Sureshraj1,*, Nalini Duraisamy1, Rathi Devi Palaniappan1, S. Sureshkumar2, M. Priya1, John Britto Pitchai1, Mohamed Badcha Yakoob1, S. Karthikeyan1, G. Sundarajan1 and S. Muthuveerappan1
  • INTRODUCTION
  • PROS AND CONS OF AI IN ENGINEERING
  • ROLE OF AI IN POWER SYSTEMS
  • ROLE OF AI IN POWER ELECTRONICS
  • ROLE OF AI IN COMPUTERIZED OPTIMIZATION PROCESS OF POWER ELECTRONIC COMPONENTS
  • ROLE OF AI IN RENEWABLE ENERGY SYSTEMS
  • MACHINE LEARNING ALGORITHM IN HYBRID ENERGY RESOURCES
  • CREATING DATASET FOR GPR MODEL
  • DATA PREPROCESSING AND TRAINING
  • CONCLUDING REMARKS
  • ACKNOWLEDGEMENT
  • Docking Interaction Profile Between the Lichenized Fungal Compounds and Diabetic Type II Membrane Receptor
  • DISCUSSION
  • Comparative Analysis of the Thallus and its Fungal Extract
  • Molecular Docking Validations Through the In-silico Methods
  • CONCLUSION
  • ACKNOWLEDGEMENTS
  • REFERENCES
  • Structural Bioinformatics and Artificial Intelligence Approaches in De Novo Drug Design
  • Dakshinamurthy Sivakumar1 and Sangwook Wu2,*
  • INTRODUCTION
  • Molecular Docking
  • Classical vs. AI Methods
  • Scoring Functions
  • Knowledge-based Scoring Function
  • Force Field/Physics-based Scoring Functions
  • Empirical Scoring Functions
  • Machine Learning-based Scoring Functions
  • Success Stories
  • CONCLUDING REMARKS
  • ACKNOWLEDGEMENT
  • REFERENCES
  • Artificial Intelligence (AI) Game Changer in Cancer Biology
  • Ashok Kamalanathan1, Babu Muthu1 and Patheri Kuniyil Kaleena2,*
  • INTRODUCTION
  • AI'S APPLICATIONS IN VARIOUS TYPES OF CANCER
  • Liver Cancer
  • Breast Cancer
  • Brain Tumor
  • Skin Cancer
  • Lung Cancer
  • Prostate Cancer
  • Colon Cancer
  • Kidney Cancer
  • Bladder Cancer
  • Thyroid Cancer
  • AI CT RESPONSE
  • AI FOR CANCER RESEARCH
  • CUTTING-EDGE CANCER PROJECTS

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