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

Marvels of Artificial and Computational Intelligence in Life Sciences

eBook: US $49 Special Offer (PDF + Printed Copy): US $84
Printed Copy: US $59
Library License: US $196
ISBN: 978-981-5136-81-4 (Print)
ISBN: 978-981-5136-80-7 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151368071230101

Introduction

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 of 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

Foreword I

- Pp. i
T.K.S. Kumar
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Foreword II

- Pp. ii
G. Sainarayanan
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Preface

- Pp. iii-iv (2)
Thirunavukkarasu Sivaraman, V. Subramanian Thangarasu, Ganesan Balakrishnan
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List of Contributors

- Pp. v-vii (3)

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Artificial Intelligence for Infectious Disease Surveillance

- Pp. 1-8 (8)
Sathish Sankar*, Pitchaipillai Sankar Ganesh, Rajalakshmanan Eswaramoorthy

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Recent Innovations in Artificial Intelligence (AI) Algorithms in Electrical and Electronic Engineering for Future Transformations

- Pp. 9-21 (13)
S. P. Sureshraj*, Nalini Duraisamy, Rathi Devi Palaniappan, S. Sureshkumar, M. Priya, John Britto Pitchai, Mohamed Badcha Yakoob, S. Karthikeyan, G. Sundarajan, S. Muthuveerappan

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An Introduction to Diabetes Drug Discovery in Biomedical Industry through Artificial Intelligence, Using Lichens' Secondary Metabolites

- Pp. 22-43 (22)
N. Rajaprabu*, P. Ponmurugan

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Structural Bioinformatics and Artificial Intelligence Approaches in De Novo Drug Design

- Pp. 44-61 (18)
Dakshinamurthy Sivakumar, Sangwook Wu*

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Artificial Intelligence (AI) Game Changer in Cancer Biology

- Pp. 62-87 (26)
Ashok Kamalanathan, Babu Muthu, Patheri Kuniyil Kaleena*

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AI-Based Energy Management for Domestic Appliances

- Pp. 88-103 (16)
Murugananth Gopal Raj*, S. John Alexis, A. Manickavasagam, R. Reji

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AI-Based Domestic Load Scheduling and Power Management for Renewable Energy Exporters

- Pp. 104-120 (17)
C. Pradip*, Murugananth Gopal Raj, S. John Alexis, A. Manickavasagam

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Artificial Intelligence in Physical Science

- Pp. 121-142 (22)
P. Periasamy, Shalini Packiam Kamala Selvaraj, Pitchumani Violet Mary Christopher

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Artificial Intelligence Based Global Solar Radiation Prediction

- Pp. 143-149 (7)
Meenal Rajasekaran*, Rajasekaran Ekambaram

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In silico Approaches to Tyrosine Kinase Inhibitors’ Development

- Pp. 150-178 (29)
S. Sugunakala*, S. Selvaraj

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Computer-Aided Drug Discovery Studies in Ethiopian Plant Species

- Pp. 179-188 (10)
Surya Sekaran, Rajalakshmanan Eswaramoorthy*, Mukesh Doble*, Palanivel Sathish kumar, Sathish Kumar Ramachandran

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Artificial Intelligence-genomic Studies in The Advancement of Agriculture

- Pp. 189-196 (8)
R. Ushasri*, Summera Rafiq, SK. Jasmine Shahina, P. Priyadarshini R. Lakshmi

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Computational EPR and Optical Spectral Investigation of VO(II) Ion Doped in Aqualithiumaquabis (Malonato) Zincate Lattice

- Pp. 197-214 (18)
S. Boobalan*, G. Sivasankari, M. Mahaveer Sree Jayan

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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

- Pp. 215-227 (13)
B. Sithi Asma, A. Palanimurugan, A. Cyril, S. Thangadurai*

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Functional Prediction of Anti-methanogenic Targets from Methanobrevibacter Ruminantium M1 Operome

- Pp. 228-243 (16)
M. Bharathi, S. Saranya, Senthil Kumar N., P. Chellapandi*

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Comparative Prediction of Electrical Interplay Systems in Methanothermobacter thermautotrophicus ΔH and Metal-loving Bacteria

- Pp. 244-262 (19)
R. Prathiviraj, Sheela Berchmans, P. Chellapandi*

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Subject Index

- Pp. 263-268 (6)
Thirunavukkarasu Sivaraman, V. Subramanian Thangarasu, Ganesan Balakrishnan
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