Computational Intelligence in Industry 4.0 and 5.0 Applications
eBook - ePub

Computational Intelligence in Industry 4.0 and 5.0 Applications

Trends, Challenges and Applications

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligence in Industry 4.0 and 5.0 Applications

Trends, Challenges and Applications

About this book

Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.

Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.

Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.

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Yes, you can access Computational Intelligence in Industry 4.0 and 5.0 Applications by JOSEPH BAMIDELE AWOTUNDE,Kamalakanta Muduli,BISWAJIT BRAHMA in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. List of Contributors
  8. 1 Industry 4.0: Challenges and Issues Encountered in Manufacturing and Testing of MEMS Devices
  9. 2 The Industrial Internet of Things (IIoT): Overview, Architecture, Challenges, and Possible Solutions
  10. 3 Artificial Intelligence in Industry 5.0: Transforming Manufacturing through Machine Learning and Robotics in Collaborative Age
  11. 4 Computational Intelligence in the Industrial Internet of Things
  12. 5 Security, Privacy, Trust, and Other Issues in Industries 4.0 and 5.0
  13. 6 Fine-Tuning for a Deep Learning Model in Optimizing Ransomware Attack Detection in the Industry 4.0 and 5.0 Era
  14. 7 Blockchain in Industry 4.0 and Industry 5.0: A Paradigm Shift towards Decentralized Efficiency and Autonomous Ecosystems
  15. 8 Integration of Digital of Twins in Industries 4.0 and 5.0
  16. 9 Computational Intelligence in Big Data Analytics
  17. 10 The Role of Augmented Reality, Virtual Reality, and Mixed Reality in Industries 4.0 and 5.0
  18. 11 Industry 4.0 Design Principles, Technologies, and Applications
  19. 12 Industry 4.0 and Computational Intelligence for Fighting COVID-19: A Case Study
  20. Index