Industrial Internet of Things: An Introduction
eBook - ePub

Industrial Internet of Things: An Introduction

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

Industrial Internet of Things: An Introduction

About this book

Industrial Internet of Things: An Introduction explores the convergence of IoT and machine learning technologies in transforming industries and advancing economic growth. This comprehensive guide examines foundational principles, innovative applications, and real-world case studies that showcase the power of IoT-enabled intelligent systems in enhancing efficiency, sustainability, and adaptability.
The book is structured into five parts. The first part introduces industrial IoT concepts, including algorithms, deep learning prediction models, and smart production techniques. The second section addresses machine learning and collaborative technologies, focusing on artificial neural networks, and AI's role in healthcare and industrial IoT. Subsequent chapters explore real-world applications, such as IoT adoption in healthcare during COVID-19 and intelligent transportation systems. The final sections address advanced IIoT progressions and the role of IoT in energy production using byproducts. Key Features:
- Foundational concepts and algorithms for industrial IoT.
- Integration of machine learning in IoT systems.
- Case studies on healthcare, transportation, and sustainability.
- Insights into energy production using IoT.

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Yes, you can access Industrial Internet of Things: An Introduction by Sunil Kumar,Silky Goel,Gaytri Bakshi in PDF and/or ePUB format, as well as other popular books in Computer Science & Neural Networks. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. PREFACE
  6. List of Contributors
  7. ACKNOWLEDGEMENTS
  8. DEDICATION
  9. Industrial IoT
  10. Algorithms and Activation Function-IoT
  11. Deep Learning-Based Prediction Model for Industrial IoT: An Assured Growth
  12. IoT-Enabled Smart Production and Sustainable Development
  13. A Suggested Framework for the Prevention of Physical Attacks on IoT Devices
  14. Machine Learning and Collaborative Technologies
  15. Use of Artificial Neural Network in Segmenting Clinical Images
  16. Role of Artificial Intelligence (AI) and Industrial IoT (IIoT) in Smart Healthcare
  17. Deep Learning and Machine Learning Algorithms in the Industrial IoT
  18. Designing and Testing the System in IIoT: Case Study
  19. Adoption of IoT in Healthcare During Covid-19
  20. Tackling and Predicting Pandemic through Machine Learning and IoT
  21. Deep Learning and IoT Revolutionizing Transportation Management: A Study on Smart Transportation
  22. Current Progression of IIoT Using Machine Learning
  23. Machine Learning in the Healthcare Sector
  24. IoT-Based Intelligent Transportation System through IoTV
  25. Implication of Waste in Boosting Economy
  26. Role of Industrial IoT for Energy Production Using Byproducts
  27. List of Acronyms