Artificial Intelligence Technologies for Engineering Applications
eBook - ePub

Artificial Intelligence Technologies for Engineering Applications

  1. 392 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence Technologies for Engineering Applications

About this book

This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry. This book discusses important topics such as algorithmic design, mathematical modeling, natural language processing, machine learning, and computer vision.

This book:

  • Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision?making, and control systems
  • Provides real?world examples of the applications of artificial intelligence in engineering, drawing from a range of industries, including aerospace, automotive, and manufacturing
  • Discusses technologies such as machine learning and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation
  • Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation
  • Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control

This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

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Yes, you can access Artificial Intelligence Technologies for Engineering Applications by G. Sucharitha,Anjanna Matta,M. Srinivas,Sachi Nandan Mohanty in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. About the editors
  9. List of contributors
  10. 1 Navigating the ethical landscape of artificial intelligence: Challenges, frameworks, and responsible deployment
  11. 2 Opportunities of intelligent machine learning techniques for sustainable development
  12. 3 Disease prediction based on drug reviews using TF-IDF in natural language processing
  13. 4 Investigating the potential of ChatGPT in substituting or assisting teachers in the digital era
  14. 5 Defence of DDoS attacks using targets in motion
  15. 6 Unlocking sign language interpretation: Leveraging transfer learning in deep learning models
  16. 7 AI engineering for the best sustainable practices towards social applications
  17. 8 Healthcare robots enabled with IOT and artificial intelligence in healthcare applications
  18. 9 AI strategies for the realm of sustainable management and practices
  19. 10 Unveiling life’s horizon: Predictive insights with automated machine learning
  20. 11 Sustainable energy optimization in smart buildings: A deep learning LSTM approach for intelligent management and environmental impact reduction
  21. 12 ConvXception: Covid-19 detection using ConvXception model
  22. 13 Automated road safety: Yolov3-based non-helmet rider detection with optical character recognition
  23. 14 Customer churn prediction for retention analysis
  24. 15 Exploring the intersection of sustainable economies and the Metaverse for a prosperous future
  25. 16 UNet-based MRI image analysis for enhanced brain tumor spotting: A cutting-edge approach in medical imaging
  26. 17 Multiple object tracking using deep learning and machine learning techniques
  27. 18 KGRecSys: Knowledge graph-based recommendation systems: A comprehensive overview
  28. 19 Brain-inspired cognitive architectures for artificial intelligence: Unlocking the potential of human-like intelligence
  29. 20 Harnessing deep learning algorithms for enhanced stock price predictability
  30. Index