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Topics in Artificial Intelligence Applied to Industry 4.0

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"Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines."

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,Table of Contents
1 Introduction to Industry 4.0 and Its Impacts on Society

1. 1.1 Introduction
2. 1.2 The Technological Advancements of the Fourth Industrial Revolution
3. 1.3 Impacts on the Economy
4. 1.4 Impacts on Society
5. 1.5 Ethics and Governance
6. 1.6 Future Directions
7. 1.7 Conclusion
8. References

2 Digital Transformation Using Industry 4.0 and Artificial Intelligence

9. 2.1 Introduction
10. 2.2 Industry 4.0 Technologies
11. 2.3 AI Features in Industry 4.0
12. 2.4 Industry 4.0 and XAI
13. 2.5 Industry 4.0 Integration Using an XAI‐Based Methodology with AI
14. 2.6 Case Studies for Industry 4.0
15. 2.7 Challenges of Industry 4.0
16. 2.8 Advantages of Intelligent Factory
17. 2.9 Discussion and Emerging Trends
18. 2.10 Conclusion
19. References

3 Industry 4.0: Design Principles, Challenges, and Applications

20. 3.1 Introduction
21. 3.2 Organization of Chapter
22. 3.3 Industrial Revolutions
23. 3.4 Generations of Industrial Revolutions
24. 3.5 Transformation to Industry 4.0
25. 3.6 Characteristics of Industry 4.0
26. 3.7 Technologies Under Industry 4.0
27. 3.8 Design Principles of Industry 4.0
28. 3.9 Applications of Industry 4.0
29. 3.10 Trends in Industry 4.0
30. 3.11 Challenges of Industry 4.0
31. 3.12 Related Works
32. 3.13 Paradigm Shift Toward Industry 5.0
33. 3.14 Future Challenges and Research
34. 3.15 Conclusion
35. References

,4 Detection from Chest X‐Ray Images Based on Modified Deep Learning Approach

36. 4.1 Introduction
37. 4.2 Related Works
38. 4.3 Research Methodology
39. 4.4 Results and Discussions
40. 4.5 Conclusions
41. References

5 Smart Technologies in Manufacturing Industries: A Useful Perspective

42. 5.1 Introduction
43. 5.2 Literature Review
44. 5.3 Materials and Methods
45. 5.4 Discussion
46. 5.5 Conclusion
47. References

6 Blockchain Technology for Industry 4.0

48. 6.1 Introduction
49. 6.2 Key Concepts of Blockchain
50. 6.3 Blockchain in Data Privacy and Security
51. 6.4 Cybersecurity in the Era of Industry 4.0
52. 6.5 Supply Chain Management and Traceability
53. 6.6 Blockchain‐Enabled Smart Manufacturing
54. 6.7 Overcoming Challenges in Blockchain Implementation
55. 6.8 Real‐World Applications of Blockchain in Industry 4.0
56. 6.9 Future Trends
57. 6.10 Conclusion
58. Declarations
59. References

7 Unifying Technologies in Industry 4.0: Harnessing the Synergy of Internet of Things,
Big Data, Augmented Reality/ Virtual Reality, and Blockchain Technologies

60. 7.1 Introduction to Industry 4.0
61. 7.2 Internet of Things
62. 7.3 Big Data
63. 7.4 Augmented Reality and Virtual Reality
64. 7.5 Blockchain
65. 7.6 Convergence of IoT, Big Data, AR/VR, and Blockchain in Industry 4.0
66. 7.7 Conclusion
67. References

8 Industry 4.0 in Manufacturing, Communication, Transportation, and Health Care

, 68. 8.1 Introduction
69. 8.2 Diversified Applications of Industry 4.0
70. 8.3 Conclusion
71. References

9 Transforming Education Management in the Industry 4.0 Era: Harnessing the Power of
Cloud‐Based Blockchain

72. 9.1 Introduction
73. 9.2 Revolutionizing Education Through Technology: The Power of Innovation and
Connectivity
74. 9.3 Blockchain Application in Education with Industry 4.0: Revolutionizing
Learning, Credentialing, and Collaboration
75. 9.4 Blockchain Solution Providers for Education in the Era of Industry 4.0
76. 9.5 Navigating the Challenges: Implementing Blockchain in Education Within the
Industry 4.0 Landscape
77. 9.6 A Vision for the Future
78. 9.7 Conclusion
79. References

10 Future Professions in Agriculture, Medicine, Education, Fitness, Research and
Development, Transport, and Communication

80. 10.1 Introduction
81. 10.2 Literature Review
82. 10.3 AI Impact on Future Professions
83. 10.4 Role Model of AI in Industry 4.0
84. 10.5 AI in Agriculture
85. 10.6 AI in Medicine
86. 10.7 Role of AI in Challenges of Medicine
87. 10.8 AI in Education
88. 10.9 AI in Fitness
89. 10.10 AI in R&D
90. 10.11 AI in Transport
91. 10.12 AI Market Growth in Future Profession
92. 10.13 Conclusion
93. References

11 Cybersecurity Issues and Challenges in Quantum Computing

94. 11.1 Introduction
95. 11.2 Cybersecurity Issues and Challenges in Quantum Computer
96. 11.3 General Solutions
97. 11.4 Conclusion
98. References

Información del documento

Subido en
2 de agosto de 2024
Número de páginas
374
Escrito en
2022/2023
Tipo
Presentación
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