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