Hybrid Computational Intelligence: Challenges and Applications

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development.

Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems.

Provides insights into the latest research trends in hybrid intelligent algorithms and architecturesFocuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interactionFeatures hybrid intelligent applications in biomedical engineering and healthcare informatics

1. Application and Techniques of Opinion Mining 2. Influence of Big Data in Smart Tourism 3. Deep learning and its applications for Content-Based Video Retrieval 4. A Computationally Intelligent agent for detecting fake news using Generative Adversarial networks (GANs) 5. Detection of Primary Glaucoma using ANN with the help of Back Propagation algo in Bio-medical Image Processing 6. Hybrid Computational Intelligence with Applications to BioMedical Image and HealthCare 7. Application of Hybrid Computational Intelligence in Healthcare 8. Utility System for premature plant disease detection using machine learning 9. Artificial Intelligence-Based Computational Fluid Dynamics (CFD) Approaches 10. Real-Time Video Segmentation using a Vague Adaptive Threshold