Intelligent Systems and Industrial Internet of Things for Sustainable Development
eBook - ePub

Intelligent Systems and Industrial Internet of Things for Sustainable Development

  1. 330 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent Systems and Industrial Internet of Things for Sustainable Development

About this book

The book studies emerging and sustaining technologies for applications of Industry 5.0 to develop technological solutions to address numerous real-life challenges to solve sustainable development-related issues. It identifies limitations, pitfalls, and open research questions in industry 5.0, discusses real-time problems, and challenges with equivalent solutions with a focus on sustainable growth to develop, humanization and environmentally friendly intelligent system applications. It analyses applications enabled by Industry 5.0 such as healthcare, supply chain, smart framing, remote sensing, production in manufacturing, and cloud manufacturing. It also includes the difficulties and problems posed by the organization between robots and humans on the assembly line to maintain sustainability.

  • Addresses key challenges in implementing intelligent systems in IoT-based applications, including issues ranging from cost and energy efficiency to availability and quality of service
  • Explores the technologies to allow human-machine association and its impact on consumption and sustainability
  • Provides sustainable solutions to emerging industrial problems, especially in healthcare, manufacturing, remote sensing, environmental engineering
  • Examines need for data pre-processing, classification & prediction, Cluster Analysis, Mining Multimedia, Text, and Web Data, Advanced machine learning techniques for scientific programming in Industry
  • Presents success stories in the form of case studies of IIoT, IIoRT, Big Data, Intelligent Systems, Deep Learning in Industry 5.0 era

The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology, especially for professionals and researchers interested in the technological side of sustainable development.

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Yes, you can access Intelligent Systems and Industrial Internet of Things for Sustainable Development by C. Kishor Kumar Reddy,P. R Anisha,Marlia Mohd Hanafiah,Srinath Doss,Kari Lippert in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Project Management. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Editors
  8. List of Contributors
  9. Chapter 1 Industry 5.0: Empowering Collaboration through Advanced Technological Approaches
  10. Chapter 2 From Industry 4.0 to 5.0: Enriching Manufacturing Excellence through Human–Robot Interaction and Technological Empowerment
  11. Chapter 3 Exploring the Feasibility of Internet of Things in the Context of Intelligent Healthcare Solutions: A Review
  12. Chapter 4 Unveiling the Paradigm Shift—Industry 5.0 and the Rise of Intelligent Systems
  13. Chapter 5 Securing the Predicted Disease Data using Transfer Learning in Cloud-Based Healthcare 5.0
  14. Chapter 6 Sustainable Agriculture: A Critical Analysis of Internet of Things—Based Solutions
  15. Chapter 7 Autonomous Agriculture Robot for Smart Farming
  16. Chapter 8 Agricultural Development in Industry 5.0: Food Manufacturing and Development
  17. Chapter 9 Novel Approaches for Applied Intelligent Systems in GIS
  18. Chapter 10 Federated Learning-Based Variational Auto-Encoder for Prediction of Breast Cancer in Cloud-Based Healthcare 5.0
  19. Chapter 11 Securing the MANET by Detecting the Intrusions Using CSO and XGBoost Model
  20. Chapter 12 Artificial Intelligence and Automation in the Transport Industry: Envisioning the Future of Mobility
  21. Chapter 13 Leveraging Intelligent Systems and the AIoT/IIoT for Enhanced Waste Management and Recycling Efficiency
  22. Chapter 14 Solar Energy Forecasting: Enhancing Reliability and Precision
  23. Index