Artificial Intelligence Theory, Models, and Applications (eBook, PDF)

Redaktion: Kaliraj, P.; Devi, T.

• Format: PDF

Produktbeschreibung

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 world
• A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization
• The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine
• AI's role in the diagnosis of various diseases, such as cancer and diabetes
• The role of machine learning models in product development and statistically monitoring product quality
• Machine learning to make robust and effective economic policy decisions
• Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results

ABOUT 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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 506
• Erscheinungstermin: 21. Oktober 2021
• Englisch
• ISBN-13: 9781000460605
• Artikelnr.: 62503916

Inhaltsangabe

Preface. Acknowledgments. Editors. Contributors. Chapter 1 Artificial
Intelligence: A Complete Insight. Chapter 2 Artificial Intelligence and
Gender. Chapter 3 Artificial Intelligence in Environmental Management.
Chapter 4 Artificial Intelligence in Medical Imaging. Chapter 5 Artificial
Intelligence (AI) - Improving Customer Experience (CX). Chapter 6
Artificial Intelligence in Radiotherapy. Chapter 7 Artificial Intelligence
in Systems Biology: Opportunities in Agriculture, Biomedicine, and
Healthcare. Chapter 8 Artificial Intelligence Applications in Genetic
Disease/Syndrome Diagnosis. Chapter 9 Artificial Intelligence in Disease
Diagnosis via Smartphone Applications. Chapter 10 Artificial Intelligence
in Agriculture. Chapter 11 Artificial Intelligence-Based Ubiquitous Smart
Learning Educational Environments. Chapter 12 Artificial Intelligence in
Assessment and Evaluation of Programme Outcomes/Programme Specific
Outcomes. Chapter 13 Artificial Intelligence-Based Assistive Technology.
Chapter 14 Machine Learning. Chapter 15 Machine Learning in Human Resource
Management. Chapter 16 Machine Learning Models in Product Development and
its Statistical Evaluation. Chapter 17 Influence of Artificial Intelligence
in Clinical and Genomic Diagnostics. Chapter 18 Applications of Machine
Learning in Economic Data Analysis and Policy Management. Chapter 19
Industry 4.0: Machine Learning in Video Indexing. Chapter 20 A Risk-Based
Ensemble Classifier for Breast Cancer Diagnosis. Chapter 21 Linear Algebra
for Machine Learning. Chapter 22 Identification of Lichen Plants and
Butterflies Using Image Processing and Neural Networks in Cloud Computing.
Chapter 23 Artificial Neural Network for Decision Making. Index.