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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.
Contents
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
