Artificial Intelligence and Communication Techniques in Industry 5. 0.
The text highlights the role of artificial intelligence in driving innovation, productivity, and efficiency. It further covers applications of artificial intelligence for digital marketing in Industry 5.0 and discusses data security and privacy issues in artificial intelligence, risk assessments, an...
| Autor principal: | |
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| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Milton :
Taylor & Francis Group
2024.
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| Edición: | 1st ed |
| Colección: | Advances in Manufacturing, Design and Computational Intelligence Techniques Series
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009869123406719 |
Tabla de Contenidos:
- Cover
- Half Title
- Series Information
- Title Page
- Copyright Page
- Table of Contents
- Aim and Scope
- Preface
- About the Editors
- Contributors
- Acknowledgment
- Chapter 1 Digital Manufacturing: Artificial Intelligence in Industry 5.0
- 1.1 Introduction
- 1.2 Transformative Journey: Industry 1.0 to 5.0
- 1.3 Artificial Intelligence in Industry 5.0
- 1.3.1 AI-Powered Digital Manufacturing Processes
- 1.3.2 AI-Powered Smart Automation and Robotics
- 1.3.3 AI-Powered Supply Chain Optimization
- 1.3.4 AI-Powered Product Quality and Inspection
- 1.3.5 Human-Machine Collaboration in Industry 5.0
- 1.3.6 AI-Powered Digital Twins
- 1.3.6.1 Digital Twins Applications
- 1.4 Success Stories in AI-Powered Manufacturing
- 1.4.1 Case 1: Ford Motors-Predictive Maintenance With AI
- 1.4.2 Case 2: Boeing-AI-Powered Defect Detection in Aircraft Manufacturing
- 1.4.3 Case 3: Adidas-AI-Driven Demand Forecasting and Customization
- 1.4.4 Case 4: Siemens-AI-Powered Optimization of Production Lines
- 1.4.5 Case 5: Schneider Electric-AI-Powered Supply Chain Management
- 1.5 Challenges and Opportunities
- 1.6 Conclusion
- References
- Chapter 2 The Rise of Industry 5.0: How Artificial Intelligence Is Shaping the Future of Manufacturing
- 2.1 Introduction
- 2.1.1 First Industrial Revolution (Eighteenth to Nineteenth Century)
- 2.1.2 Second Industrial Revolution (After Nineteenth to Before Twentieth Century)
- 2.1.3 Third Industrial Revolution (Late Twentieth Century)
- 2.1.4 Fourth Industrial Revolution (Twenty-First Century)
- 2.2 Characteristics of Industry 5.0
- 2.3 Importance of AI in Industry 5.0
- 2.3.1 Techniques and Approaches
- 2.3.2 Challenges and Considerations
- 2.4 Importance of AI in Industrial Transformation
- 2.5 Key Drivers for AI Adoption in Industry 5.0
- 2.6 Applications of AI in Industry 5.0.
- 2.6.1 Smart Manufacturing and Robotics
- 2.6.1.1 Flexible Manufacturing Systems
- 2.6.2 Supply Chain Improvement
- 2.6.2.1 Supply Chain Risk Management
- 2.6.3 Personalized Production and Mass Customization
- 2.6.3.1 Digital Twins for Personalization
- 2.6.4 Autonomous Vehicles and Transportation Systems
- 2.6.5 Energy Management and Sustainability
- 2.6.6 Healthcare Innovation
- 2.6.7 Customer Experience Enhancement
- 2.7 Case Studies and Examples
- 2.7.1 Manufacturing Industry
- 2.7.2 Healthcare Industry
- 2.7.3 Retail Industry
- 2.7.4 Financial Services Industry
- 2.8 Future Outlook
- 2.8.1 Predictions for the Future of AI-Driven Industrial Transformation
- 2.8.2 Opportunities and Challenges On the Horizon
- 2.9 Conclusion
- Chapter 3 Industry 5.0 With Artificial Intelligence: A Data-Driven Approach
- 3.1 Introduction
- 3.2 Different Stages of the Industrial Revolution
- 3.3 Artificial Intelligence Applications in Industry 5.0-Based Sustainable Manufacturing
- 3.4 Artificial Intelligence Applications in Supply Chain Management
- 3.5 Artificial Intelligence Applications in Design and Innovation
- 3.6 Artificial Intelligence Applications in Healthcare
- 3.7 Conclusions and Future Scope
- References
- Chapter 4 An Explorative Study On the Use of Artificial Intelligence in Oman High School Education
- 4.1 Importance of English for Academic Purposes
- 4.2 Artificial Intelligence in Education
- 4.2.1 Chatbot
- 4.2.2 Expert System
- 4.2.3 Intelligent Tutors Or Agents
- 4.2.4 Machine Learning
- 4.2.5 Personalized Learning Systems Or Environments
- 4.2.6 Visualizations and Virtual Learning Environments
- 4.3 English Language Teaching in Oman
- 4.4 A Case Study of Grade 11 Writing Curriculum in the Sultanate of Oman Under the Influence of AI
- 4.5 Research Participants
- 4.6 Instrument
- 4.7 Data Analysis.
- 4.8 Findings
- 4.8.1 Types of AI Writing Tools Used By EFL Teachers
- 4.8.2 Teachers' Perspectives Toward the Impact of AI Writing Tools
- 4.8.3 Idea Generation
- 4.8.3.1 Vocabulary and Language Use
- 4.8.3.2 Coherence and Logical Flow
- 4.8.3.3 Use of Transition Words and Phrases
- 4.9 Expected Challenges in AI Implementation
- 4.9.1 Data Privacy
- 4.9.2 Algorithmic Bias
- 4.9.3 Infrastructural Resources
- 4.10 Benefits of AI Technologies in Education
- 4.10.1 Changing the Traditional Role of a Teacher
- 4.10.2 Practical Implications for AIEd
- 4.11 Conclusion
- References
- Chapter 5 Evolving Industries: A Journey From Industry 1.0 to 5.0
- 5.1 Introduction
- 5.1.1 Overview of the Historical Evolution of Industrial Revolutions
- 5.1.2 Importance of Understanding the Implications On Society and the Economy
- 5.1.3 Transition to Industry 5.0 as a Focal Point for Discussion
- 5.2 Industry 1.0: The Age of Steam Power and Mechanization
- 5.2.1 Introduction to Industry 1.0
- 5.2.2 Characteristics of Steam Power and Mechanized Production
- 5.2.3 Challenges and Innovations During This Phase
- 5.3 Industry 2.0: The Era of Mass Production
- 5.3.1 Introduction to Industry 2.0
- 5.3.2 Shift Toward Mass Production Techniques
- 5.3.3 Impact On Economies of Scale and Consumer Goods Availability
- 5.3.4 Emerging Challenges and Complexities
- 5.4 Industry 3.0: The Digital Revolution
- 5.4.1 Introduction to Industry 3.0
- 5.4.2 Key Technological Advancements Driving the Digital Revolution
- 5.4.3 Transformation of Business Operations and Challenges Faced
- 5.4.4 Importance of Continuous Learning and Adaptation
- 5.5 Industry 4.0: The Era of Smart Manufacturing
- 5.5.1 Introduction to Industry 4.0
- 5.5.2 Convergence of Physical and Digital Systems
- 5.5.3 Advancements in AI, IoT, and Cyber-Physical Systems.
- 5.5.4 Barriers to Adoption and Uneven Progress
- 5.6 Industry 5.0: Toward a Human-Centric Future
- 5.6.1 Introduction to Industry 5.0
- 5.6.2 Concept of Human-Centric Manufacturing
- 5.6.3 Technologies Empowering Workers and Fostering Innovation
- 5.6.4 Value Creation for Businesses and Society
- 5.7 Limitations of Industry 5.0
- 5.8 Future Research of Industry 5.0
- 5.9 Conclusion
- References
- Chapter 6 The Industrial Revolution: From Mechanisation (1.0) to Smart Automation (5.0)
- 6.1 Introduction
- 6.2 Literature Review
- 6.3 Stages of Transformation (Industry 1.0-1.4)
- 6.3.1 Industry 1.0
- 6.3.2 Industry 2.0
- 6.3.3 Industry 3.0
- 6.3.4 Industry 4.0
- 6.4 Latest Phase of Industrialisation
- 6.4.1 Industry 5.0
- 6.4.2 Advancements in Industry 5.0
- 6.4.3 Advantages of Industry 5.0
- 6.4.4 Challenges
- 6.5 Conclusion
- References
- Chapter 7 Enhancing the Digital Economy in the Context of the Fourth Industrial Revolution: The Case of Vietnam
- 7.1 Introduction
- 7.2 Literature Review
- 7.3 Data Selection and Methodology
- 7.4 Results and Discussion
- 7.4.1 Frequency Analysis
- 7.4.2 Descriptive Statistics
- 7.4.3 The Test of Cronbach's Alpha and EFA
- 7.4.4 Correlation Matrix
- 7.4.5 Regression Results
- 7.5 Conclusions and Future Scope
- References
- Chapter 8 Machinery to Mind: Navigating the Transformation From Industry 1.0 to Industry 5.0
- 8.1 Introduction
- 8.2 Industry 1.0: The Era of Mechanization
- 8.2.1 Limitations of Industry 1.0
- 8.3 Industry 2.0: The Age of Mass Production
- 8.3.1 Limitations of Industry 2.0
- 8.4 Industry 3.0: The Rise of Computers
- 8.4.1 Limitations of Industry 3.0
- 8.5 Industry 4.0: The Era of Smart Manufacturing
- 8.5.1 Limitations of Industry 4.0
- 8.6 The Emergence of Industry 5.0
- 8.6.1 Innovations and Modernizations
- 8.6.2 Applications of Industry 5.0.
- 8.6.3 Technologies of Industry 5.0
- 8.6.4 Limitations of Industry 5.0
- 8.6.5 Future Direction
- 8.7 Conclusion
- References
- Chapter 9 The Role of Cutting-Edge Technologies in Revolutionary Industry 5.0
- 9.1 Introduction
- 9.2 Industry 5.0 As Industrial Revolution
- 9.2.1 About Industry 5.0
- 9.2.2 Industry 5.0: The Cutting-Edge Technology
- 9.2.3 Industry 5.0: The Way to Enable Technologies
- 9.2.3.1 Individualized Human-Machine Interaction
- 9.2.3.2 Bio-Inspired Technologies and Smart Materials
- 9.2.3.3 Digital Twins as Well as Simulation
- 9.2.3.4 Transmission of Data, Analysis and Storage
- 9.2.3.5 Artificial Intelligence
- 9.2.3.6 Efficiency of Technology, Storage, Renewables, and Autonomy
- 9.3 The Role Of Workers In The Industry 5.0
- 9.3.1 Work-Related Stress and Disease
- 9.3.2 Emerging Risks
- 9.3.2.1 Wearables the Smart Ones
- 9.3.2.2 Cobots and Robots
- 9.3.2.3 Virtual Reality/Augmented Reality
- 9.3.2.4 ExoSkeleton
- 9.3.2.5 Digital Twin
- 9.3.2.6 Wireless Communication Technology
- 9.4 Path Toward Society 5.0
- 9.5 Conclusion
- References
- Chapter 10 Managing Industry 5.0: The Next Frontier for Artificial Intelligence and Machine Learning Algorithms
- 10.1 Introduction
- 10.2 Supervised Learning
- 10.2.1 Decision Tree
- 10.2.2 Naïve Bayes
- 10.2.3 Support Vector Machine
- 10.3 Unsupervised Learning
- 10.4 Neural Networks Workflow
- 10.4.1 Principal Component Analysis
- 10.4.2 K-Means Clustering
- 10.5 Semi-Supervised Learning
- 10.5.1 Transductive Support Vector Machines
- 10.5.2 Generative Models
- 10.5.3 Self-Training
- 10.6 Reinforcement Learning
- 10.7 Multitasking Learning
- 10.8 Ensemble Learning
- 10.8.1 Boosting
- 10.8.2 Bagging
- 10.9 Deep Learning (Neural Network)
- 10.9.1 Supervised Neural Network
- 10.9.2 Unsupervised Neural Network
- 10.9.3 Reinforced Neural Network.
- 10.10 Instance-Based Learning (K-Nearest Neighbor).
