图书简介
This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes;their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills.FEATURES:Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI worldA general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimizationThe potential and application of AI in medical imaging as well as the challenges of AI in precision medicineAI’s role in the diagnosis of various diseases, such as cancer and diabetesThe role of machine learning models in product development and statistically monitoring product qualityMachine learning to make robust and effective economic policy decisionsMachine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable resultsABOUT THE EDITORS:Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.;
Preface Acknowledgments Editors Contributors Chapter 1 Artificial Intelligence: A Complete Insight T. Amudha Chapter 2 Artificial Intelligence and Gender K. Mangayarkarasi Chapter 3 Artificial Intelligence in Environmental Management Rahul Kharat and T. Devi Chapter 4 Artificial Intelligence in Medical Imaging C.S. Sureka Chapter 5 Artificial Intelligence (AI) - Improving Customer Experience (CX) K. Vinaykumar Nair Chapter 6 Artificial Intelligence in Radiotherapy C.S. Sureka Chapter 7 Artificial Intelligence in Systems Biology: Opportunities in Agriculture, Biomedicine, and Healthcare S. Dhivya, S. Hari Priya, and R. Sathishkumar Chapter 8 Artificial Intelligence Applications in Genetic Disease/Syndrome Diagnosis P. Vinayaga Moorthi Chapter 9 Artificial Intelligence in Disease Diagnosis via Smartphone Applications Saradhadevi Muthukrishnan Chapter 10 Artificial Intelligence in Agriculture M. Sakthi Asvini and T. Amudha Chapter 11 Artificial Intelligence-Based Ubiquitous Smart Learning Educational Environments S. Anuradha Chapter 12 Artificial Intelligence in Assessment and Evaluation of Programme Outcomes/Programme Specific Outcomes V. Saravanan and D. Vinotha Chapter 13 Artificial Intelligence-Based Assistive Technology P. Subashini and M. Krishnaveni Chapter 14 Machine Learning Italia Joseph Maria and T. Devi Chapter 15 Machine Learning in Human Resource Management M. Punithavalli Chapter 16 Machine Learning Models in Product Development and its Statistical Evaluation V. Kaviyarasu Chapter 17 Influence of Artificial Intelligence in Clinical and Genomic Diagnostics E. Kiruba Nesamalar, J. Satheeshkumar, and T. Amudha Chapter 18 Applications of Machine Learning in Economic Data Analysis and Policy Management Brijesh Kumar Gupta Chapter 19 Industry 4.0: Machine Learning in Video Indexing R. Amsaveni and M. Punithavalli Chapter 20 A Risk-Based Ensemble Classifier for Breast Cancer Diagnosis B. Malar, Priyadarshini Srirambalaji, and T.S. Vanitha Chapter 21 Linear Algebra for Machine Learning P. Dhanalakshmi Chapter 22 Identification of Lichen Plants and Butterflies Using Image Processing and Neural Networks in Cloud Computing P. Ponmurugan, K. Murugan, and C. Panneerselvam Chapter 23 Artificial Neural Network for Decision Making K.M. Sakthivel and C.S. Rajitha Index
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