Applications of Optimization and Machine Learning in Image Processing and IoT
eBook - ePub

Applications of Optimization and Machine Learning in Image Processing and IoT

  1. 220 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applications of Optimization and Machine Learning in Image Processing and IoT

About this book

This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT.

Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing.

KEY FEATURES:

• Includes fundamental concepts towards advanced applications in machine learning and IoT.

• Discusses potential and challenges of machine learning for IoT and optimization

• Reviews recent advancements in diverse researches on computer vision, networking and optimization field.

• Presents latest technologies such as machine learning in image processing and IoT

This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.

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Yes, you can access Applications of Optimization and Machine Learning in Image Processing and IoT by Nidhi Gupta in PDF and/or ePUB format, as well as other popular books in Mathematics & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgments
  9. About the Editor
  10. List of Contributors
  11. Chapter 1 ◾ State-of-the-Art on Evolved Optimization Approaches for Damage Detection in Steel Bridges
  12. Chapter 2 ◾ IoT and Its Advancement
  13. Chapter 3 ◾ Optimal Configuration of IOT Cluster with Full Connectivity with Minimum Transmission Power Using SA and BO Algorithms
  14. Chapter 4 ◾ IoT Optimization for Smart Cities and Mobility in Smart Cities
  15. Chapter 5 ◾ Application of the Internet of Things in E-Waste Management
  16. Chapter 6 ◾ Power of IoT in Smart Healthcare Systems
  17. Chapter 7 ◾ Verification Scheme for Malicious Routing in the Internet of Things
  18. Chapter 8 ◾ Agricultural Applications Using Artificial Intelligence and Computer Vision Technologies
  19. Chapter 9 ◾ Artificial Intelligence-Based Smart Identification System Using Herbal Images: Decision Making Using Various Machine Learning Models
  20. Chapter 10 ◾ CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features
  21. Chapter 11 ◾ Early Prediction of Cardiac Diseases Using Ensemble Learning Techniques: A Machine Learning Technique to Deal with Heart Disease Problems
  22. Index