
Empowering Artificial Intelligence Through Machine Learning
New Advances and Applications
Apple Academic Press Inc.
1st Edition
Published on 16. June 2022
Book
Hardback
244 pages
978-1-77188-930-8 (ISBN)
Description
This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas.
Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more.
The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.
Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more.
The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.
More details
Language
English
Place of publication
Oakville
Canada
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
15 s/w Tabellen, 11 s/w Photographien bzw. Rasterbilder, 7 Farbfotos bzw. farbige Rasterbilder, 44 s/w Zeichnungen, 12 farbige Zeichnungen, 19 farbige Abbildungen, 55 s/w Abbildungen
15 Tables, black and white; 12 Line drawings, color; 44 Line drawings, black and white; 7 Halftones, color; 11 Halftones, black and white; 19 Illustrations, color; 55 Illustrations, black and white
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 19 mm
Weight
540 gr
ISBN-13
978-1-77188-930-8 (9781771889308)
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

Nedunchezhian Raju | M. Rajalakshmi | Dinesh Goyal
Empowering Artificial Intelligence Through Machine Learning
New Advances and Applications
Book
08/2024
1st Edition
Apple Academic Press Inc.
€125.70
Shipment within 3-4 weeks

Nedunchezhian Raju | M. Rajalakshmi | Dinesh Goyal
Empowering Artificial Intelligence Through Machine Learning
New Advances and Applications
E-Book
06/2022
1st Edition
Apple Academic Press Inc.
€184.99
Available for download

Nedunchezhian Raju | M. Rajalakshmi | Dinesh Goyal
Empowering Artificial Intelligence Through Machine Learning
New Advances and Applications
E-Book
06/2022
1st Edition
Apple Academic Press Inc.
€184.99
Available for download
Persons
Nedunchezhian Raju, PhD, is Professor in the Department of Computer Science and Engineering, Coimbatore Institute of Technology, Coimbatore, India, where has served as Head of the Institution and Director of Research. He has more than 25 years of experience in teaching and research. He has published more than 100 papers in refereed journals and conferences as well as several books and book chapters.
M. Rajalakshmi, PhD, is Associate Professor of Information Technology at the Coimbatore Institute of Technology, India. Her research areas include data structures, data mining, distributed systems, big data analytics, and machine learning. She has 25 years of teaching and research experience. She has published many papers in international journals and conferences and is a reviewer for several journals.
Dinesh Goyal, PhD, joined the Poornima Group as Principal & Director, Poornima Institute of Engineering & Technology, India. He was previously Professor of Research & Academic Experience at Suresh Gyan Vihar University, India, and Director of the Centre for Cloud Infrastructure and Security. He has written more than 60 papers for international and national publications.
S. Balamurugan, PhD, is Director of Research and Development at Intelligent Research Consultancy Services in Coimbatore, India. He has published over 45 books and over 200 papers in international journals and conferences. His book Machine Learning and Deep Learning Algorithms using MATLAB and PYTHON was named "Best MATLAB Book For Beginners" by BookAuthority, 2019. He has been a book series editor, editor-in-chief, associate editor, and editorial board member for many international journals and conferences.
Ahmed A. Elngar, PhD, is Founder and Head of the Scientific Innovation Research Group and Assistant Professor of Computer Science at Beni-Suef University, Egypt, where he is also Director of the Technological and Informatics Studies Center. He has published over 25 scientific papers published in international journals and several books on data mining, intelligent systems, social networks, and smart environments.
Bright Keswani, PhD, is Professor and Head of the Department of Computer Applications, Principal (Academic Staff College), and Editor-in-Chief of SGVU Journal of Engineering & Technology at Suresh Gyan Vihar University, India. He devotes his time to research in computer science and provides consultancy on project planning and designing to a team of software professionals.
M. Rajalakshmi, PhD, is Associate Professor of Information Technology at the Coimbatore Institute of Technology, India. Her research areas include data structures, data mining, distributed systems, big data analytics, and machine learning. She has 25 years of teaching and research experience. She has published many papers in international journals and conferences and is a reviewer for several journals.
Dinesh Goyal, PhD, joined the Poornima Group as Principal & Director, Poornima Institute of Engineering & Technology, India. He was previously Professor of Research & Academic Experience at Suresh Gyan Vihar University, India, and Director of the Centre for Cloud Infrastructure and Security. He has written more than 60 papers for international and national publications.
S. Balamurugan, PhD, is Director of Research and Development at Intelligent Research Consultancy Services in Coimbatore, India. He has published over 45 books and over 200 papers in international journals and conferences. His book Machine Learning and Deep Learning Algorithms using MATLAB and PYTHON was named "Best MATLAB Book For Beginners" by BookAuthority, 2019. He has been a book series editor, editor-in-chief, associate editor, and editorial board member for many international journals and conferences.
Ahmed A. Elngar, PhD, is Founder and Head of the Scientific Innovation Research Group and Assistant Professor of Computer Science at Beni-Suef University, Egypt, where he is also Director of the Technological and Informatics Studies Center. He has published over 25 scientific papers published in international journals and several books on data mining, intelligent systems, social networks, and smart environments.
Bright Keswani, PhD, is Professor and Head of the Department of Computer Applications, Principal (Academic Staff College), and Editor-in-Chief of SGVU Journal of Engineering & Technology at Suresh Gyan Vihar University, India. He devotes his time to research in computer science and provides consultancy on project planning and designing to a team of software professionals.
Editor
Coimbatore Institute of Technology, India
Coimbatore Institute of Technology, India
Beni-Suef University, Egypt
Suresh Gyan Vihar University, India
Content
1. A Tour of Various Knowledge Representation Techniques in Artificial Intelligence for Making Machines Intelligent 2. Understanding Distributed Semantic Analysis with Spark Data Frames 3. Machine Learning and Artificial Intelligence in Healthcare 4. Healthcare, IoT, and Big Data Support 5. GROCD: Novel Fuzzy Rules Based on Efficient Clustering and Classification of BDNF with Type-2 Diabetes Mellitus 6. Hybridization Preprocessing and Resampling Technique-Based Neural Network Approach for Credit Card Fraud Detection 7. Artificial Intelligence in Education Using Gaming and Automatization with Courses and Outcomes Mapping 8. The Impact of Artificial Intelligence for Comprehensive Growth Across the Globe 9. Monitoring System for Greenhouse Using a Deep Learning Technique 10. Application of Artificial Intelligence in Image Processing 11. A Novel N-Average Wavelet Algorithm for a Voice-Based Wheel Chair 12. Automated Diagnosis of Heart Disease Using Artificial Intelligence