Applications of Computational Intelligence in Multi-Disciplinary Research
eBook - ePub

Applications of Computational Intelligence in Multi-Disciplinary Research

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

Applications of Computational Intelligence in Multi-Disciplinary Research

About this book

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

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Yes, you can access Applications of Computational Intelligence in Multi-Disciplinary Research by Ahmed A. Elngar,Rajdeep Chowdhury,Mohamed Elhoseny,Valentina Emilia Balas in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contents
  6. List of contributors
  7. List of Illustrations
  8. List of Tables
  9. Chapter 1 : Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern
  10. Chapter 2 : A novel crypt-intelligent cryptosystem
  11. Chapter 3 : Behavioral malware detection and classification using deep learning approaches
  12. Chapter 4 : Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things
  13. Chapter 5 : Bluetooth security architecture cryptography based on genetic codons
  14. Chapter 6 : Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems
  15. Chapter 7 : Using artificial intelligence search in solving the camera placement problem
  16. Chapter 8 : Nanotechnology and applications
  17. Chapter 9 : Advances of nanotechnology in plant development and crop protection
  18. Chapter 10 : A methodology for designing knowledge-based systems and applications
  19. Chapter 11 : IoT in healthcare ecosystem
  20. Index
  21. A