Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications
eBook - ePub

Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications

  1. 464 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications

About this book

This book offers an in-depth look at Industry 4.0's applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and also examines the key technological advances and potential economic and technical benefits through case studies featuring real-world implementations.

Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications discusses the impact of Industry 4.0 and workforce transformation. The book examines the key technological advances that support Industry 4.0 and examines their potential economic and technical benefits through case studies. It covers the connection Industrial 4.0 has with IT and communication technologies and demonstrates the technological advancements and how to use their benefits towards and through examples of real-world applications.

This book offers a conceptual framework and road map for those making decisions as they go through the next stage of transformation. This book mainly targets academicians, professionals, business professionals, start-up companies, and researchers at undergraduate, postgraduate, and doctoral levels.

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Yes, you can access Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications by Sagaya Aurelia,Ossama Embarak in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Ingeniería industrial. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. About the Editors
  7. List of Contributors
  8. Preface
  9. Acknowledgments
  10. Chapter 1 The Fourth Industrial Revolution: An Overview of Technologies and Socio-Economic Implications
  11. Chapter 2 An Insight into the Consensus Protocols and Data Security in IoT Applications Using Blockchain
  12. Chapter 3 Technological Advances in Smart Monitoring Imaging Systems Based on Machine Learning
  13. Chapter 4 IoT-Based Seaweed Cultivation for a Sustainable Economy
  14. Chapter 5 Security Analysis and Planning for Enterprise Networks: Incorporating Modern Security Design Principles
  15. Chapter 6 A Comparative Study of Structureless Data Aggregation Protocols in Wireless Sensor Networks (WSNs)
  16. Chapter 7 HR Analytics: A Model of Modern Human Resource Practices
  17. Chapter 8 Technology and Design Advancements: Implementation of Cloud Computing Using a Service-Oriented Architecture (SOA) Model
  18. Chapter 9 Redefining Traditional Education Using Augmented Reality and Virtual Reality
  19. Chapter 10 AI-Based Automatic Detection of IP Network Performance in Telecommunication
  20. Chapter 11 AI-Based Movie Recommendation System
  21. Chapter 12 Criminal Investigation Using Deep Learning and Image Processing
  22. Chapter 13 Machine Learning Validation for Project Success Multivariate Modeling
  23. Chapter 14 Deep Learning Method for Anomaly Detection in Cyber Physical Systems (CPS) and Social Networks
  24. Chapter 15 Industry 4.0: Intelligent Routing and Scheduling Algorithm for EV Charging Based on EV Battery Management System
  25. Chapter 16 Design of Eco-Friendly Batteries Using PCM
  26. Chapter 17 Synthesizing User Comments to Prospective Viral Interests on New Media Using Sentiment Analysis for Effective Data Visualization Premeditated for Journalism 4.0
  27. Chapter 18 A Data-Driven Model-Based Application to Interpret Anomalies Utilizing Mutual Information in Satellite Data
  28. Chapter 19 A Review of Reinforcement Learning Approaches for Autonomous Systems in Industry 4.0
  29. Index