Hyper-Intelligent Networks

Prepare for the next technological frontier with this essential, multidisciplinary guide that delves into hyper-intelligent networks, providing a comprehensive overview of how AI and machine learning are revolutionizing telecommunications, healthcare, and other vital sectors with cognitive, autonomous connectivity. As we stand on the brink of a new technological frontier, the convergence of artificial intelligence, machine learning, and network infrastructure promises to revolutionize the way we harness the power of digital ecosystems. The vision of a hyper-intelligent network transcends conventional notions of connectivity and represents a paradigm shift where networks evolve from mere conduits of data to dynamic entities with cognitive capabilities, adaptability, and autonomous decision-making abilities. This book delves into the emerging field of hyper-intelligent networks, exploring how these networks are poised to revolutionize various sectors, including telecommunications, healthcare, finance, and transportation. It provides a comprehensive overview of the theoretical foundations, practical applications, and future implications of hyper-intelligent networks, offering a deeper understanding of this cutting-edge technology. Written by leading experts in the fields of artificial intelligence and networking, the book has a multidisciplinary approach that combines theoretical insights with real-world case studies and practical examples. It is suitable for both technical professionals seeking to deepen their understanding of hyper-intelligent networks and non-technical readers interested in the potential impact of these technologies on society. Readers will find the book: Discusses different applications of hyper-intelligent networks in various industries; Introduces the innovative potential of hyper-intelligent networks; Presents state-of-the-art analyses and real-world case studies demonstrating hyper-intelligent networks; Provides a comprehensive look at applications of hyper-intelligent networks across a number of industries. Audience Research scholars, IT professionals, network administrators, cybersecurity experts, government research agencies, and engineering students.

Preface xxiii Acknowledgement xxvii Part 1: Artificial Intelligence and Blockchain in Hyper Intelligent Network 1 1 Introduction to Hyper-Intelligent Networks 3 Mohammed Kaleem, P. Pavan Kumar, Pradosh Kumar Gantayat and Sandeep Kumar Panda 2 Hyper-Intelligence in Machine Learning: Unleashing the Next Evolution of AI 31 Tejinder Kaur, Kiran Rani Panwar, Ankita, Mukesh Soni, Neelam Oberoi and Pokkuluri Kiran Sree 3 Edge Computing and Its Role in Hyper-Intelligent Networks 43 Shivani Kumari, Anukrity Gupta, Aashish Sahu, Simran Dalmia, Mamoon Rashid and Hitesh Mohapatra 4 Emerging Horizons: Exploring Blockchain-Driven Hyper-Intelligent Network in Healthcare 67 Subasish Mohapatra, Subhadarshini Mohanty and Ayaskanta Mishra 5 Med3: Blockchain-Based Privacy Preservation of Patient Health Records in Hyper-Intelligent Network 97 Rohit Saxena, Vishal Nagar, Satyasundara Mahapatra and Atul Gupta 6 Deep Learning for Hyper-Intelligent Networks 119 P. Sree Lakshmi and P. Rohini 7 Machines Learning in Networking 139 Tejinder Kaur, Ankita, Anima Bag, Debabrata Dansana, Anitha D.B. and Kajal Jain Part 2: Privacy and Security of Healthcare in Hyper Intelligent Network 151 8 Security and Privacy in Hyper-Intelligent Networks 153 Abhishek Panda, Animesh Jha, Gourav Vardhan Panigrahi, Saahen Sriyan Mishra and Hitesh Mohapatra 9 Internet-of-Things Integrated Blockchain–Based Supply Chain Management Across Various Industries 177 Dileep Kumar Murala, Sandeep Kumar Panda, Santosh Kumar Swain and Pradosh Kumar Gantayat 10 Hyper-Intelligent Networks in Healthcare 205 Bibekananda Mohanty 11 AI-Driven Remote Health Monitoring for Predicting Diabetes and Heart Diseases Using ULMCSO and PGND Models 219 Soumya Ranjan Mishra and Sachikanta Dash 12 Cloud Manufacturing and Intelligent Network Importance in Healthcare Applications 249 Ravi Prasad Thati and Pranathi Kakaraparthi 13 Analysis on E-Services Platform in Context of Intelligent Cities 271 Aryan Kaushal, Animesh Singh, Ankit Raj, Sanskar Garg and Hitesh Mohapatra Part 3: Future Trends and Applications in Hyper Intelligent Network 297 14 Foundations and Advancements in Hyper-Intelligent Networks 299 D. Krishna Madhuri and Madhusmita Majhi 15 Reinforcement Learning in Network Optimization 325 Jagini Naga Padmaja and Nadimpalli Madana Kailash Varma 16 Amharic Multi-Class Sentiment Analysis Model: Leveraging Deep Learning for Emotion Detection in Text 349 Rojer Berhanu, Minakhi Rout, Suresh Chandra Satapathy and Junali Jasmine Jena 17 Retail Sales Prediction Using Intelligent Time-Series Analysis 365 Vuttaradi Akarsh 18 Technologically Enhanced Anti-Theft Door Locking and Alert System Based on IoT 381 Sumanta Chatterjee, Jui Pattnayak and Pabitra Kumar Bhunia 19 Leveraging Analytics for Efficient Network Operations 403 Amarendar Reddy Chittireddy, Vishnu Kurnala and Koti Tejasvi 20 Techniques to Mitigate the Threats in Cloud Security 431 Shifa Shah, Jaffar Amin Chacket and Amit Katoch 21 The Transformative Influence of Industry 4.0 and Hyper Artificial Intelligence on Human Resource Management 455 Rashmi Kumari and Sujata Priyambada Dash References 479 Index 483