Artificial Intelligence Theory, Models, and Applications
1st Edition
Published on 12. March 2025
Book
Paperback/Softback
480 pages
978-1-032-10613-7 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic
Illustrations
206 s/w Abbildungen, 206 s/w Zeichnungen
206 Line drawings, black and white; 206 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 27 mm
Weight
761 gr
ISBN-13
978-1-032-10613-7 (9781032106137)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
P. Kaliraj | T. Devi
Artificial Intelligence Theory, Models, and Applications
Book
10/2021
1st Edition
Auerbach
€167.70
Shipment within 10-20 days
P. Kaliraj | T. Devi
Artificial Intelligence Theory, Models, and Applications
E-Book
10/2021
1st Edition
Auerbach
€73.99
Available for download
P. Kaliraj | T. Devi
Artificial Intelligence Theory, Models, and Applications
E-Book
10/2021
1st Edition
Auerbach
€73.99
Available for download
Content
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.