1st Edition

Empowering Artificial Intelligence Through Machine Learning New Advances and Applications

    264 Pages 19 Color & 55 B/W Illustrations
    by Apple Academic Press

    264 Pages 19 Color & 55 B/W Illustrations
    by Apple Academic Press

    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.

    1. A Tour of Various Knowledge Representation Techniques in Artificial Intelligence for Making Machines Intelligent

    Poonam Tanwar, T. V. Prasad, and Kamlesh Dutta

    2. Understanding Distributed Semantic Analysis with Spark Data Frames

    Richa Mathur, Devesh K. Bandil, and Dhanesh Kumar Solanki

    3. Machine Learning and Artificial Intelligence in Healthcare

    Jeelani Ahmed and Muqeem Ahmed

    4. Healthcare, IoT, and Big Data Support

    Vikash Yadav and Dhananjaya Verma

    5. GROCD: Novel Fuzzy Rules Based on Efficient Clustering and Classification of BDNF with Type-2 Diabetes Mellitus

    Dharmaiah Devarapalli, Phanigrahi Srikanth, and Ahmed A. Elngar

    6. Hybridization Preprocessing and Resampling Technique-Based Neural Network Approach for Credit Card Fraud Detection

    Bright Keswani, Poonam Keswani, Prity Vijay, and Ambarish G. Mohapatra

    7. Artificial Intelligence in Education Using Gaming and Automatization with Courses and Outcomes Mapping

    S. Manikandan and M. Chinnadurai

    8. The Impact of Artificial Intelligence for Comprehensive Growth Across the Globe

    Shalini Srivastav, Vikas Garg, and Ahmed A. Elngar

    9. Monitoring System for Greenhouse Using a Deep Learning Technique

    Aditya Kakde, Nitin Arora, Durgansh Sharma, Mamta Martolia, and Alanknanda Ashok

    10. Application of Artificial Intelligence in Image Processing

    Aafreen Nawresh and S. Sasikala

    11. A Novel N-Average Wavelet Algorithm for a Voice-Based Wheel Chair

    E. Chandra

    12. Automated Diagnosis of Heart Disease Using Artificial Intelligence

    E. Udayakumar, S. Balamurugan, and P. Vetrivelan


    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.