Data-Driven Systems and Intelligent Applications
eBook - ePub

Data-Driven Systems and Intelligent Applications

  1. 196 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data-Driven Systems and Intelligent Applications

About this book

This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing.

This book:

  • Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning.
  • Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence.
  • Presents the latest developments in data-driven and cloud applications with respect to their design and architecture.
  • Covers artificial intelligence methods along with their experimental result analysis through data processing tools.
  • Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services.

The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering.

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Yes, you can access Data-Driven Systems and Intelligent Applications by Mangesh M. Ghonge,N. Krishna Chaitanya,Pradeep N,Harish Garg,Alessandro Bruno in PDF and/or ePUB format, as well as other popular books in Computer Science & Electrical Engineering & Telecommunications. 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. Preface
  8. About the editors
  9. List of contributors
  10. 1 Introduction to data-driven intelligent systems
  11. 2 Challenges and techniques in data-driven systems for smart cities
  12. 3 Role of artificial intelligence in healthcare applications using various biomedical signals
  13. 4 Machine learning algorithms for data-driven intelligent systems
  14. 5 An overview of cloud computing
  15. 6 An overview of cloud computing for data-driven intelligent systems with AI services
  16. 7 Evolution of artificial intelligence through game playing in chess: history, tools, and techniques
  17. 8 Network security enhancement in data-driven intelligent architecture based on Cloud IoT blockchain cryptanalysis
  18. 9 Geospatial semantic information modeling: concepts and research issues
  19. Index