Applied Computer Vision and Soft Computing with Interpretable AI
eBook - ePub

Applied Computer Vision and Soft Computing with Interpretable AI

  1. 316 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Computer Vision and Soft Computing with Interpretable AI

About this book

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments.

Features:

  • Covers a variety of deep learning architectures useful for computer vision tasks
  • Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks
  • Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable, adaptive, and optimized solution to a given problem
  • Addresses the different issues and further research opportunities in computer vision and soft computing
  • Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain
  • Considers recent real word problems and the prospective solutions to these problems

This book will be useful to researchers, students, faculty, and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks.

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Yes, you can access Applied Computer Vision and Soft Computing with Interpretable AI by Swati V. Shinde,Darshan V. Medhane,Oscar Castillo in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Editors
  8. Contributors
  9. 1 Improved Healthcare Systems Using Artificial Intelligence: Technology and Challenges
  10. 2 A Brain MRI Segmentation Method Using Feature Weighting and a Combination of Efficient Visual Features
  11. 3 Vision Based Skin Cancer Detection: Various Approaches with a Comparative Study
  12. 4 MentoCare: An Improved Mental Healthcare System for the Public
  13. 5 An Employee Health Monitoring System Using Wireless Body Area Networks and Machine Learning
  14. 6 Monitoring Operational Parameters in the Manufacturing Industry Using Web Analytical Dashboards
  15. 7 Concurrent Line Perpendicular Distance Functions for Contour Point Analysis
  16. 8 A Resemblance of Convolutional Neural Network Architectures for Classifying Ferrograph Images
  17. 9 The Role of Artificial Intelligence and the Internet of Things in Smart Agriculture towards Green Engineering
  18. 10 Intuitionistic Fuzzy Hypergraphs and Their Operations
  19. 11 Spammer Detection Based on a Heterogeneous Multiple-mini-graph Neural Network
  20. 12 Spam Email Classification Using Meta-heuristic Algorithms
  21. 13 A Blockchain Model for Land Registration Properties in Metro Cities
  22. 14 A Review of Sentiment Analysis Applications and Challenges
  23. 15 Handling Skewed Datasets in Computing Environments: The Classifier Ensemble Approach
  24. 16 Diagnosis of Dementia Using MRI: A Machine Learning Approach
  25. 17 Optimized Student’s Multi-Face Recognition and Identification Using Deep Learning
  26. 18 Impact of Fake News on Society with Detection and Classification Techniques
  27. 19 Neurological Disorder Detection Using Computer Vision and Machine Learning Techniques
  28. 20 Deep Learning for Tea Leaf Disease Classification: Challenges, Study Gaps, and Emerging Technologies
  29. Index