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 -- REFERENCES -- An Introduction to Diabetes Drug Discovery in Biomedical Industry through Artificial Intelligence, Using Lichens' Secondary Metabolites -- N. Rajaprabu1,* and P. Ponmurugan2 -- INTRODUCTION -- MATERIALS AND METHODS -- Thallus Collection and Metabolite Identification -- Collection of Lichen and Lichenicolous Fungal Metabolites -- Bioinformatics Approach for Lichens Metabolites Analysis Against Type II Diabetic Receptor -- STATISTICAL ANALYSIS -- RESULTS -- Comparative In Silico Interaction Between Lichen Thallus and Endo Lichenic Fungal Metabolites -- 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 -- APPLICATION OF AI IN DRUG DISCOVERY -- CANCER TREATMENT TECHNIQUES USED IN THE PAST -- CONCLUDING REMARKS -- ACKNOWLEDGEMENT -- REFERENCES -- AI-Based Energy Management for Domestic Appliances -- Murugananth Gopal Raj1,*, S. John Alexis2, A. Manickavasagam1 and R. Reji3 -- INTRODUCTION -- Electricity Generation and Consumption -- Artificial Intelligence -- HOME ENERGY MANAGEMENT SYSTEM -- DOMESTIC ELECTRICAL LOADS -- ENERGY WASTAGE ISSUES IN DOMESTIC APPLIANCES -- AI-BASED ENERGY MANAGEMENT SYSTEMS -- AI for Room Comfort System -- Refrigerator System -- Other Electrical Loads -- Miscellaneous Loads -- CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- AI-Based Domestic Load Scheduling and Power Management for Renewable Energy Exporters -- C. Pradip1,*, Murugananth Gopal Raj2, S. John Alexis3 and A. Manickavasagam2 -- INTRODUCTION -- TYPES OF ROOFTOP SOLAR PV SYSTEM.

Grid-tied System -- Grid-tied System with a Backup -- Off-grid System -- A NECESSITY FOR RESIDENTIAL PV SYSTEM -- MODEL OF RESIDENTIAL PV SYSTEM -- Optimal Scheduling Process -- AI BASED OPTIMAL LOAD SCHEDULING AND POWER MANAGEMENT -- AI Based Load Scheduling and Power Management -- Implementation of AI Based System -- CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- Artificial Intelligence in Physical Science -- Artificial Intelligence Based Global Solar Radiation Prediction -- Meenal Rajasekaran1,* and Rajasekaran Ekambaram2 -- INTRODUCTION -- ARTIFICIAL NEURAL NETWORK METHODOLOGY -- RESULTS AND DISCUSSION -- CONCLUDING REMARKS -- ACKNOWLEDGEMENT -- REFERENCES -- In silico Approaches to Tyrosine Kinase Inhibitors' Development -- S. Sugunakala1,* and S. Selvaraj2 -- INTRODUCTION -- Protein Tyrosine Kinases (Ptks) -- CLASSIFICATION OF PROTEIN TYROSINE KINASE FAMILY -- Architecture and Regulation of Receptor Protein Tyrosine Kinases (RPTKs) -- Architecture and Regulation of Non-Receptor Protein Tyrosine Kinases (NRPTKs) -- PROTEIN TYROSINE KINASES AS DRUG TARGETS -- DEVELOPMENT OF NEXT GENERATION PROTEIN TYROSINE KINASE INHIBITORS (PTKI) -- USE OF 2D QSAR, 3D QSAR AND PHARMACOPHORE MODELS FOR THE DEVELOPMENT OF TYROSINE KINASE INHIBITORS (TKI) -- TYROSINE KINASE INHIBITORS DISCOVERED THROUGH SBVS -- TYROSINE KINASE INHIBITORS DISCOVERED THROUGH LBVS -- DISCOVERING TYROSINE KINASE INHIBITORS BY COMBINED EXPERIMENTAL AND CADD APPROACHES -- PREDICTION OF KINASE-LIGAND INTERACTIONS BY COMPUTATIONAL INTELLIGENCE -- Use of Machine Learning and Artificial Intelligence Approaches -- CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- Computer-Aided Drug Discovery Studies in Ethiopian Plant Species -- Artificial Intelligence-genomic Studies in The Advancement of Agriculture -- R. Ushasri1,*, Summera Rafiq1, SK. Jasmine Shahina1 and P. Priyadarshini R. Lakshmi1.

INTRODUCTION -- ARTIFICIAL INTELLIGENCE IS THE CENTRAL DOGMA OF MOLECULAR BIOLOGY -- ARTIFICIAL NEURAL NETWORKS IN AGRICULTURE -- DEEP NEURAL NETWORKS IN AGRICULTURE -- APPLICATION OF MACHINE LEARNING IN CROP GENOMICS RESEARCH -- CONCLUDING REMARKS -- ACKNOWLEDGMENT -- REFERENCES -- Computational EPR and Optical Spectral Investigation of VO(II) Ion Doped in Aqualithiumaquabis (Malonato) Zincate Lattice -- S. Boobalan1,*, G. Sivasankari2 and M. Mahaveer Sree Jayan3 -- INTRODUCTION -- EXPERIMENTAL -- Material and Method -- Preparation of Single Crystal of VO(II)-doped [Li(H2O)]2[Zn(mal)2(H2O)] -- EPR Measurements -- UV-Visible, FT-IR, Powder XRD Measurements -- CRYSTAL STRUCTURE -- RESULTS AND DISCUSSION -- Single Crystal EPR Studies -- Polycrystalline EPR Studies -- Admixture Coefficients -- Optical Absorption Studies -- FT-IR spectral studies -- Powder XRD Studies -- ACKNOWLEDGEMENT -- REFERENCES -- 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 -- B. Sithi Asma1, A. Palanimurugan1, A. Cyril1 and S. Thangadurai2,* -- INTRODUCTION -- METHODS AND MATERIALS -- XRD Analysis -- UV-VIS Microspectroscopy -- FT-IR Microspectroscopy -- RAMAN Microspectroscopy -- Morphological Analysis -- RESULT AND DISCUSSION -- XRD Analysis -- FTIR Analysis -- Raman Spectra -- UV Analysis -- SEM Analysis -- CONCLUDING REMARKS -- ACKNOWLEDGEMENT -- REFERENCES -- Functional Prediction of Anti-methanogenic Targets from Methanobrevibacter Ruminantium M1 Operome -- M. Bharathi1, S. Saranya1, Senthil Kumar N.2 and P. Chellapandi1,* -- INTRODUCTION -- MATERIALS AND METHODS -- Sequence-based Functional Annotation -- Structure-based Functional Annotation -- Knowledge-based Functional Annotation.

Prediction of Subcellular Localization -- Prediction of Virulence Properties -- Prediction of Vaccinogenic Properties -- RESULTS -- DISCUSSION -- CONCLUSION -- ACKNOWLEDGEMENT -- REFERENCES -- Comparative Prediction of Electrical Interplay Systems in Methanothermobacter thermautotro-phicus ΔH and Metal-loving Bacteria -- R. Prathiviraj1, Sheela Berchmans2 and P. Chellapandi1,* -- INTRODUCTION -- MATERIALS AND METHODS -- Identification and Functional Characterization of Pilin and Archaellin -- Network Construction -- Functional Annotation for Microbe-microbe Interactions -- RESULTS -- Structural and Functional Characterization of Pilin and Archaellin -- Mechanism of Electrical Interplay Systems in MTH -- Comparison Between MTH and Meta-loving Bacteria -- DISCUSSION -- CONCLUSION -- ACKNOWLEDGEMENTS -- REFERENCES -- Subject Index -- Back Cover.