1st Edition

Handbook of Research on Machine Learning Foundations and Applications

    594 Pages 38 Color & 212 B/W Illustrations
    by Apple Academic Press

    594 Pages 38 Color & 212 B/W Illustrations
    by Apple Academic Press

    594 Pages 38 Color & 212 B/W Illustrations
    by Apple Academic Press

    This volume takes the reader on a technological voyage of machine learning advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation.

    The book begins with an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning as well as a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. Chapters explore predictive data analytics for health issues. The book also adds a macro dimension by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.


    1. Ethics in AI in Machine Learning 

    Shilpa Kapse 

    2. Advances in Artificial Intelligence Models for Providing Security and Privacy Using Machine Learning Techniques 

    R. S. M. Lakshmi Patibandla and V. Lakshman Narayana 

    3. A Systematic Review of Deep Learning Techniques for Semantic Image Segmentation: Methods, Future Directions, and Challenges 

    Reena, Amanpratap Singh Pall, Nonita Sharma, K. P. Sharma, and Vaishali Wadhwa 

    4. Covariate Shift in Machine Learning 

    Santosh Chapaneri and Deepak Jayaswal 

    5. Understanding and Building Generative Adversarial Networks 

    Harsh Jalan and Dakshata Panchal 


    6. Machine Learning in Healthcare: Applications, Current Status, and Future Prospectus 

    Rohini Patil and Kamal Shah 

    7. Employing Machine Learning for Predictive Data Analytics in Healthcare 

    Rakhi Akhare, Monika Mangla, Sanjivani Deokar, and Hardik Deshmukh 

    8. Prediction of Heart Disease Using Machine Learning 

    Subasish Mohapatra, Jijnasee Dash, Subhadarshini Mohanty, and Arunima Hota 

    9. Detection of Infectious Diseases in Human Bodies by Using Machine Learning Algorithms 

    Snehlata Beriwal, K. Thirunavukkarasu, Shahnawaz Khan, and Satheesh Abimannan 

    10. Medical Review Analytics Using Social Media 

    Dipen Chawla, Sujay Varma, and Sujata Khedkar 

    11. Time Series Forecasting Techniques for Infectious Disease Prediction 

    Jaiditya Dev, Monika Mangla, Nonita Sharma, and K. P. Sharma 


    12. Machine Learning in the Steel Industry 

    Sushant Rath 

    13. Experiments Synergizing Machine Learning Approaches with Geospatial Big Data for Improved Urban Information Retrieval 

    Kavach Mishra, Asfa Siddiqui, and Vinay Kumar 

    14. Garbage Detection Using Surf Algorithm Based on Merchandise Marker 

    Lalit Gupta, Samarth Jain, Dhruv Bansal, and Princy Randhawa 

    15. Evolution of Long Short-Term Memory (LSTM) in Air Pollution Forecasting 

    Satheesh Abimannan, Deepak Kochhar, Yue-Shan Chang, and K. Thirunavukkarasu 

    16. Application of Machine Learning in Stock Market Prediction 

    P. S. Sheeba and Subhash K. Shinde 

    17. Deep Learning Model for Stochastic Analysis and Time-Series Forecasting of the Indian Stock Market 

    Sourabh Yadav 

    18. Enhanced Fish Detection in Underwater Video Using Wavelet-Based Color Correction and Machine Learning 

    Jitendra P. Sonawane, Mukesh D. Patil, and Gajanan K. Birajdar 

    19. Fake News Predictor Model Based on Machine Learning and Natural Language Processing 

    Priyanka Bhartiya, Sourabh Yadav, Vaishali Wadhwa, and Poonam Mittal 

    20. Machine Learning on Simulation Tools for Underwater Sensor Network 

    Mamta Nain and Nitin Goyal 

    21. Prediction and Analysis of Heritage Monuments Images Using Machine Learning Techniques 

    Gopal Sakarkar, Nilesh Shelke, Ayon Moitra, Manoj Shanti, and Pravin Ghatode 


    Monika Mangla, PhD, is Associate Professor in the Department of Information Technology at Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. She has over 18 years of teaching experience and holds two patents. She has guided many student projects and has published research papers and book chapters with reputed publishers.

    Subhash K. Shinde, PhD, is Professor and Vice Principal at Lokmanya Tilak College of Engineering (LTCoE), Navi Mumbai, India. He has over 20 years of teaching experience and has published many research papers in national and international conferences and journals. He has also authored many books. He has also worked as Chairman of the Board of Studies in Computer Engineering under the Faculty of Technology at the University of Mumbai.

    Vaishali Mehta, PhD, is Professor in the Department of Information Technology at Panipat Institute of Engineering and Technology, Panipat, Haryana, India. She has two patents published to her credit. She has over 17 years of teaching experience at undergraduate and postgraduate levels. She has published research articles and books and has also reviewed research papers for reputed journals and conferences.

    Nonita Sharma, PhD, is Assistant Professor at the National Institute of Technology, Jalandhar, India. She has more than 10 years of teaching experience. She has published papers in international and national journals and conferences and has also written book chapters. She has authored a book titled XGBoost: The Extreme Gradient Boosting for Mining Applications.

    Sachi Nandan Mohanty, PhD, is Associate Professor in the Department of Computer Science & Engineering at Vardhaman College of Engineering, India. He is actively involved in the activities of several professional societies. He has received awards for his work as well as international travel funds. Dr. Mohanty is currently acting as a reviewer of many journals and has also published four edited books and three authored books.