Revolutionize your IoT infrastructure with this guide to mastering quantum-enhanced machine learning algorithms and theoretical frameworks that are shattering the boundaries of classical computing to deliver unprecedented network performance and security.
In a world increasingly reliant on interconnected devices and data-driven insights, the limitations of classical computing become ever more apparent. The convergence of quantum computing, machine learning, and the Internet of Things (IoT) heralds a new era of technological advancement, one where the boundaries of computational possibility are continually redefined. This book offers an in-depth examination of how quantum algorithms are utilized to improve the performance, security, and efficiency of IoT devices and networks. It connects theoretical concepts with practical applications, providing a comprehensive look at fundamental principles and advanced techniques in this rapidly growing field. Using case studies and real-world insights, this book gives readers the latest developments in quantum machine learning, artificial intelligence, and the smart Internet of Things, and their potential to create an accessible pathway to the future.
Readers will find the volume:
- Demonstrates how to seamlessly integrate quantum computing and machine learning for next-gen IoT solutions;
- Explores the emerging field of quantum machine learning and its various applications for the AI-driven Internet of Things;
- Provides real-world examples and case studies demonstrating the power of quantum machine learning in smart IoT environments;
- Comprehensively covers a wide range of topics.
Audience
Researchers and engineers in machine learning, quantum computing, data science, the Internet of Things.
Table of Contents:
Preface xv
Part I: Building Effective Artificial Intelligence Based Machine Learning Systems & IoT Applications 1
1 Essentials of Data Analytics for Smart IoT 3
J.E. Judith, C.R. Jothy, C. Dhayananth Jegan and A.J. Anju
2 Profiling Crop Water Stress Using Modular Neural Network Classifier for an IoT-Enabled Crop Irrigation System 27
Jeyapandian Munisamy and Durga Karthik
3 Integrating AI and Machine Learning (ML) with the Internet of Things (IoT) 43
Swetha Margaret T. A., Renuka Devi D. and Diana Judith I.
4 Integrating AI and Machine Learning to Enhance Data Security in Intelligent IoT Systems 75
M. T. Vasumathi, Manju Sadasivan, M. Kamarasan and G. Manikandan
5 Quantum Salp Swarm Algorithm for Optimizing Task Offloading in Edge Computing-Based IoT Systems 113
Sasikumar A., Logesh Ravi, Malathi Devarajan, Selvalakshmi A., Harishankar K. Nair, Ali Wagdy Mohamed and Subramaniyaswamy V.
6 Object Detection and Distance Measurement Using ToF Sensor 137
Venkatesan R., Jeyapandian M. and Durga Karthik
7 Development of Sensor-Based Smart Stick with Alert System for Visually Impaired Individuals Using Machine Learning Technique 151
Sivaramapriya Karuppaiyan, Mathivathani Ganesan, Roja Karuppaiyan and Bhuvaneswari Swaminathan
8 Smarter IoT: Integrating AI and Machine Learning for Sustainable Systems and Intelligent Automation 169
K. Megala, K. Tulip Raaj, R. Bala Krishnan, N. Rajesh Kumar and G. Manikandan
Part II: Quantum Computing Meets Machine Learning: Algorithms, Applications, and Security 193
9 Quantum Computing Meets Machine Learning: A New Frontier 195
Renuka Devi D., Diana Judith I. and Swetha Margaret T.A.
10 An Introduction to Quantum Machine Learning Algorithms and Its Applications 223
Jeevan George and Asha Sebastian
11 Quantum Machine Learning-Based Personalized Transportation Recommender System 245
D. Manju, Logesh Ravi, Ali Wagdy Mohamed and Subramaniyaswamy V.
12 Data-Driven Decision Making for Sustainable Transportation, Quantum Machine Learning, and Collaborative Filtering 271
D. Manju, Logesh Ravi, Ali Wagdy Mohamed and Subramaniyaswamy V.
13 Quantum Machine Learning-Based Framework for Predictive Maintenance in Smart Manufacturing Industries 295
B.S. Kiruthika Devi, Lekshmi S. Raveendran, Minu Susan Jacob, Balasubramanian Prabhu Kavin and Priyan Malarvizhi Kumar
14 Quantum Machine Learning-Based Smart IoT Model for Precision Agriculture 315
D. Anu Disney, V. Akilandeswari, G. Suseela, Balasubramanian Prabhu Kavin and Priyan Malarvizhi Kumar
15 A Comprehensive Survey on Quantum Learning and Quantum Machine Learning: Dissimilarities, Revolutions, and Upcoming Directions 337
Abiramasundari S. and Umamaheswari P.
16 Quantum Machine Learning Model for Finance: A Deep Portfolio Investment System 359
Sasikumar A., Logesh Ravi, Malathi Devarajan, Selvalakshmi A., Harishankar K. Nair, Ali Wagdy Mohamed and Subramaniyaswamy V.
17 Quantum Computing Applications for Internet of Things 385
Sooraj T.R. and B.K. Tripathy
18 Entangling Intelligence: Bridging Quantum and Machine Learning 413
Sharan G., R. Bala Krishnan, Karthikeyan B. and Manikandan G.
19 Delving into the Basics of QC: From Qubits to Quantum Gates 435
Anishin Raj M.M., Varghese S. Chooralil, Sebastian Terance, Nikesh P.L. and Simina M.P.
Part III: Security and Advanced Concepts in Quantum and IoT Systems 455
20 Building Effective AI-Based Machine Learning Systems: A Comprehensive Guide to Design Principles 457
Anishin Raj M.M., Sebastian Terance, Rajasekhar Reddy, Nikesh P.L. and Sabitha Raju
21 A Systematic Introduction to Quantum Computing and Quantum Machine Learning for IoT Applications 483
Mathew Vincent, Parvathy Gopakumar, Asha Sebastian and Rubell Marion Lincy G.
22 Enhancing Security in the Smart IoT Systems Using Post-Quantum Cryptographic Block Cipher 511
Sasikumar A., Logesh Ravi, Malathi Devarajan, Selvalakshmi A., Harishankar K. Nair, Ali Wagdy Mohamed and Subramaniyaswamy V.
23 A Blockchain-Integrated Quantum Model-Based Fusion for Data Security in Smart IoT 535
Sasikumar A., Logesh Ravi, Malathi Devarajan, Selvalakshmi A., Harishankar K. Nair, Ali Wagdy Mohamed and Subramaniyaswamy V.
24 Reliable AI in Smart IoT through Quantum Error Correction and Fault-Tolerant Computing 559
Sameeksha Saraf, Arka De and B. K. Tripathy
25 Cyber Security in Quantum Era: Challenges, Solutions, and Future Directions: A Review 581
Karthikeyan Vaiapury, Latha Parameswaran, Sridharan Sankaran and Sweety Hansuwa
References 599
Index 603
About the Author :
R. Bala Krishnan, PhD is an Assistant Professor in the Department of Computer Science and Engineering at the Srinivasa Ramanujan Centre at SASTRA University, Kumbakonam, India, with more than 15 years of experience. He has published more than 50 research papers in international journals and his interests include quantum computing, machine learning, artificial intelligence, intrusion detection and prevention systems.
N. Rajesh Kumar, PhD is an Assistant Professor in the Department of Computer Science and Engineering at the Srinivasa Ramanujan Centre at SASTRA University, Kumbakonam, India. He has published more than 30 research articles in journals and conferences of repute. His research interests include information hiding, image processing, and visual cryptography.
Subramaniyaswamy V., PhD is a Professor in the School of Computer Science and Engineering at the Vellore Institute of Technology. Vellore. Tamil Nadu, India. He has internationally published more than 200 articles and book chapters. His technical competencies lie in recommender systems, blockchain networks, artificial intelligence, machine learning, and big data analytics.
