Hyper-Intelligent Networks

Pradosh Kumar Gantayat, PhD is an Assistant Professor at the Department of Artificial Intelligence and Data Science, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education (IFHE), Deemed to be University, Hyderabad, Telangana, India. He has published more than 25 papers in international journals, conferences, and book chapters and holds three Indian patents. His research focuses on security issues in computer networks, soft computing, AI, and optimization algorithms. Sandeep Kumar Panda, PhD is a Professor Department of Artificial Intelligence and Data Science, Faculty of Science and Technology (IcfaiTech), ICFAI Foundation for Higher Education (IFHE), Deemed to be University, Hyderabad, Telangana, India. He has published more than 70 articles in and international journals and conferences and edited six books. His research interests include blockchain technology, W3, Metaverse, the Internet of Things, AI, and cloud computing. S. Balamurugan, PhD is the Director of Research and Development at Intelligent Research Consultancy Services. He has published 48 books, more than 300 articles in international journals and conferences, and 55 patents. His research interests include artificial intelligence, augmented reality, Internet of Things, big data, and cloud and wearable Computing. Sheng-Lung Peng, PhD is a Professor and the Director of the Department of Creative Technologies and Product Design at the National Taipei University of Business, Taiwan. He has edited several special issues of journals and published more than 100 research papers. His research interests focus on designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and other network areas.

• Preface xxiiiAcknowledgement xxviiPart 1: Artificial Intelligence and Blockchain in Hyper Intelligent Network 11 Introduction to Hyper-Intelligent Networks 3Mohammed Kaleem, P. Pavan Kumar, Pradosh Kumar Gantayat and Sandeep Kumar Panda2 Hyper-Intelligence in Machine Learning: Unleashing the Next Evolution of AI 31Tejinder Kaur, Kiran Rani Panwar, Ankita, Mukesh Soni, Neelam Oberoi and Pokkuluri Kiran Sree3 Edge Computing and Its Role in Hyper-Intelligent Networks 43Shivani Kumari, Anukrity Gupta, Aashish Sahu, Simran Dalmia, Mamoon Rashid and Hitesh Mohapatra4 Emerging Horizons: Exploring Blockchain-Driven Hyper-Intelligent Network in Healthcare 67Subasish Mohapatra, Subhadarshini Mohanty and Ayaskanta Mishra5 Med3: Blockchain-Based Privacy Preservation of Patient Health Records in Hyper-Intelligent Network 97Rohit Saxena, Vishal Nagar, Satyasundara Mahapatra and Atul Gupta6 Deep Learning for Hyper-Intelligent Networks 119P. Sree Lakshmi and P. Rohini7 Machines Learning in Networking 139Tejinder Kaur, Ankita, Anima Bag, Debabrata Dansana, Anitha D.B. and Kajal JainPart 2: Privacy and Security of Healthcare in Hyper Intelligent Network 1518 Security and Privacy in Hyper-Intelligent Networks 153Abhishek Panda, Animesh Jha, Gourav Vardhan Panigrahi, Saahen Sriyan Mishra and Hitesh Mohapatra9 Internet-of-Things Integrated Blockchain–Based Supply Chain Management Across Various Industries 177Dileep Kumar Murala, Sandeep Kumar Panda, Santosh Kumar Swain and Pradosh Kumar Gantayat10 Hyper-Intelligent Networks in Healthcare 205Bibekananda Mohanty11 AI-Driven Remote Health Monitoring for Predicting Diabetes and Heart Diseases Using ULMCSO and PGND Models 219Soumya Ranjan Mishra and Sachikanta Dash12 Cloud Manufacturing and Intelligent Network Importance in Healthcare Applications 249Ravi Prasad Thati and Pranathi Kakaraparthi13 Analysis on E-Services Platform in Context of Intelligent Cities 271Aryan Kaushal, Animesh Singh, Ankit Raj, Sanskar Garg and Hitesh MohapatraPart 3: Future Trends and Applications in Hyper Intelligent Network 29714 Foundations and Advancements in Hyper-Intelligent Networks 299D. Krishna Madhuri and Madhusmita Majhi15 Reinforcement Learning in Network Optimization 325Jagini Naga Padmaja and Nadimpalli Madana Kailash Varma16 Amharic Multi-Class Sentiment Analysis Model: Leveraging Deep Learning for Emotion Detection in Text 349Rojer Berhanu, Minakhi Rout, Suresh Chandra Satapathy and Junali Jasmine Jena17 Retail Sales Prediction Using Intelligent Time-Series Analysis 365Vuttaradi Akarsh18 Technologically Enhanced Anti-Theft Door Locking and Alert System Based on IoT 381Sumanta Chatterjee, Jui Pattnayak and Pabitra Kumar Bhunia19 Leveraging Analytics for Efficient Network Operations 403Amarendar Reddy Chittireddy, Vishnu Kurnala and Koti Tejasvi20 Techniques to Mitigate the Threats in Cloud Security 431Shifa Shah, Jaffar Amin Chacket and Amit Katoch21 The Transformative Influence of Industry 4.0 and Hyper Artificial Intelligence on Human Resource Management 455Rashmi Kumari and Sujata Priyambada DashReferences 479Index 483