Empowering Artificial Intelligence Through Machine Learning (eBook, PDF)

New Advances and Applications
Redaktion: Raju, Nedunchezhian; Kesawn, Bright; Elngar, Ahmed A.; Balamurugan, S.; Goyal, Dinesh; Rajalakshmi, M.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 264
• Erscheinungstermin: 16. Juni 2022
• Englisch
• ISBN-13: 9781000089424
• Artikelnr.: 63707980

Autorenporträt

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.

Inhaltsangabe

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