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…mehr
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.
Produktdetails
Produktdetails
Hybrid Computational Intelligence for Pattern Analysis and Understanding
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Autorenporträt
Siddhartha Bhattacharyya is a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor of Algebra University College, Zagreb, Croatia. Prior to this, he served as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more
than 300 research publications in international journals and conference proceedings to his credit.
Inhaltsangabe
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
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
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