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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Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. He also serves as an Associate Professor at the American University in the Emirates and as an Adjunct Professor at Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and Director of the Technological and Informatics Studies Center (TISC) at Beni-Suef University. Dr. Elngar has authored over 150 scientific papers and more than 35 books in areas such as data mining, intelligent systems, IoT, and smart environments. His research interests include network security, intrusion detection, AI, machine learning, healthcare systems, and cryptology. He is a member of the Egyptian Mathematical Society and the International Rough Set Society and actively contributes as an editor and reviewer for various international journals. Dr. Elngar is a highly collaborative and interdisciplinary researcher.
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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About the editors
Dr. Ahmed A. Elngar is currently an assistant professor at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt, and College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Dr. Elngar is the director of Technological and Informatics Studies Center (TISC) and is the founder and head of Scientific Innovation Research Group (SIRG) at Beni-Suef University.
Dr. Rajdeep Chowdhury is an eminent academician, author, award-winning bilingual poet, and editor. His areas of research interest and specialization are artificial intelligence, cryptography, data warehouse, data mining, and network security. Dr. Chowdhury was previously an associate professor in the Department of Computer Applications, JIS College of Engineering, Kalyani, India.
Dr. Mohamed Elhoseny is currently an assistant professor at the Faculty of Computers and Information, Mansoura University, and a researcher at the CoVIS Lab, Department of Computer Science and Engineering, University of North Texas.
Valentina Emilia Balas is currently a full professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a PhD cum Laude in applied electronics and telecommunications from the Polytechnic University of Timisoara.
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Zustand: New. Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods Includes case studies and real-world examples of computatio. Artikel-Nr. 497310094
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Taschenbuch. Zustand: Neu. Neuware - 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. Artikel-Nr. 9780128239780
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