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.
1. Applications of Computational Intelligence in Multi-Disciplinary Research - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. List of Illustrations - p. Page viii 9. List of Tables - p. Page ix 10. Chapter 1 : Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern - p. Page ix 11. Chapter 2 : A novel crypt-intelligent cryptosystem - p. Page 14 12. Chapter 3 : Behavioral malware detection and classification using deep learning approaches - p. Page 26 13. Chapter 4 : Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things - p. Page 43 14. Chapter 5 : Bluetooth security architecture cryptography based on genetic codons - p. Page 65 15. Chapter 6 : Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems - p. Page 80 16. Chapter 7 : Using artificial intelligence search in solving the camera placement problem - p. Page 107 17. Chapter 8 : Nanotechnology and applications - p. Page 124 18. Chapter 9 : Advances of nanotechnology in plant development and crop protection - p. Page 139 19. Chapter 10 : A methodology for designing knowledge-based systems and applications - p. Page 153 20. Chapter 11 : IoT in healthcare ecosystem - p. Page 184 21. Index - p. Page 203
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.
1. Applications of Computational Intelligence in Multi-Disciplinary Research - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. List of Illustrations - p. Page viii 9. List of Tables - p. Page ix 10. Chapter 1 : Iris feature extraction using three-level Haar wavelet transform and modified local binary pattern - p. Page ix 11. Chapter 2 : A novel crypt-intelligent cryptosystem - p. Page 14 12. Chapter 3 : Behavioral malware detection and classification using deep learning approaches - p. Page 26 13. Chapter 4 : Optimization techniques and computational intelligence with emerging trends in cloud computing and Internet of Things - p. Page 43 14. Chapter 5 : Bluetooth security architecture cryptography based on genetic codons - p. Page 65 15. Chapter 6 : Estimation of the satellite bandwidth required for the transmission of information in supervisory control and data acquisition systems - p. Page 80 16. Chapter 7 : Using artificial intelligence search in solving the camera placement problem - p. Page 107 17. Chapter 8 : Nanotechnology and applications - p. Page 124 18. Chapter 9 : Advances of nanotechnology in plant development and crop protection - p. Page 139 19. Chapter 10 : A methodology for designing knowledge-based systems and applications - p. Page 153 20. Chapter 11 : IoT in healthcare ecosystem - p. Page 184 21. Index - p. Page 203
