Computational Intelligence for Connective Cognition Networks
eBook - ePub

Computational Intelligence for Connective Cognition Networks

Advances and Applications

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

Computational Intelligence for Connective Cognition Networks

Advances and Applications

About this book

This book explores deep learning architectures such as convolutional neural networks and recurrent neural networks for tasks like image analysis, speech recognition, and natural language processing within network paradigms. It uses machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis and prediction tasks.

This book:

  • Covers a wide range of topics within network paradigms, including intelligence modeling, sustainability, quantum computing, and network security
  • Utilizes various machine learning algorithms such as neural networks, support vector machines, and decision trees for data analysis, and prediction tasks
  • Addresses contemporary issues like fake news detection, social media analysis, and cybersecurity
  • Employs network analysis techniques to understand the structure and dynamics of complex systems, including social networks, communication networks, and biological networks
  • Explores the integration of quantum computing principles and algorithms to solve computational intelligence tasks efficiently, especially in quantum-based network paradigms

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer engineering, and information technology.

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Yes, you can access Computational Intelligence for Connective Cognition Networks by Kirti Aggarwal,Anuja Arora,Zahid Akhter,Alessandro Bruno,Zahid Akhtar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Acknowledgments
  9. About the Editors
  10. List of Contributors
  11. Chapter 1 Enhancing ECG analysis through parametric quartic spline modeling and machine learning classification
  12. Chapter 2 Quantum networking paradigm
  13. Chapter 3 Genetic algorithm-based framework for optimizing medical image enhancement
  14. Chapter 4 Machine learning security on drones or UAV
  15. Chapter 5 Image forgery detection
  16. Chapter 6 The future of road safety integrating computational intelligence with network paradigms and AI innovations
  17. Chapter 7 Document classification engine to segregate multilingual PDF documents
  18. Chapter 8 FNDetector: Fake news detection using combinations of various features
  19. Chapter 9 Survey of visual deepfake detection methods
  20. Chapter 10 Empowering educators : Leveraging large language models for lecture preparation material development
  21. Index