List of contributing authors

Chapters in this book

1. Frontmatter I
2. Preface V
3. Contents VII
4. List of contributing authors IX
5. Chapter 1 Digital transformation technology and tools: shaping the future of primary health care 1
6. Chapter 2 Predictive maintenance of industrial machines using data collected through IoT sensors and analyzed by machine learning algorithms 27
7. Chapter 3 A deep survey on quantum computing technologies 49
8. Chapter 4 Machine learning and deep learning 71
9. Chapter 5 From evolution to revolution: the contemporary development of quantum computing 85
10. Chapter 6 Real-time big data analytics 107
11. Chapter 7 Quantum processors/networks/sensors 129
12. Chapter 8 Quantum computing in automata theory 147
13. Chapter 9 Quantum computing: future of artificial intelligence and its applications 163
14. Chapter 10 A leap among quantum ML and DL models: a review 185
15. Chapter 11 A perspective study on quantum machine learning models for the areas of medicine, materials, sensing, and communication 205
16. Chapter 12 Quantum computing: application-specific need of the hour 225
17. Chapter 13 Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies 243
18. Chapter 14 Applications of quantum AI for healthcare 271
19. Biography 289
20. Index 291