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Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization
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Hybrid Computational Intelligent Systems - Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.
Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.
The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.
Features:
Siddhartha Bhattacharyya is currently serving as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum, India. He has been inducted into the People of ACM hall of fame by ACM, the USA in 2020. He has been elected as a full foreign member of the Russian Academy of Natural Sciences. He has been elected as a full fellow of The Royal Society for Arts, Manufactures and Commerce (RSA), London, UK. He is a co-author of 6 books and the co-editor of 75 books and has more than 300 research publications in international journals and conference proceedings to his credit. His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks, and quantum computing.
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