
Intelligent Systems
Description
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* Covers a wide range of topics related to computational intelligence, including fuzzy logic, neural networks, and explainable artificial intelligence interpretation.
* Discusses the challenges and limitations of computational intelligence techniques, such as the interpretability of artificial intelligence models and the need for ethical considerations in artificial intelligence applications.
* Explains neural networks in natural language processing, neural networks in computer vision, and applications of neural networks in real-world scenarios.
* Presents applications of computational intelligence in diverse areas such as robotics, transportation, web mining, healthcare, and finance.
* Illustrates reinforcement learning-based control systems, adaptive control systems, neuro-fuzzy control systems, and applications of intelligent control systems.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communication engineering, computer science and engineering, and information technology.
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Persons
Soumya Sen is presently working as an assistant professor, in A. K. Choudhury School of Information Technology, at the University of Calcutta, India. He has also worked in IBM India Pvt. Ltd, and RS Software. His industrial expertise includes ERP & Data Warehouse. His current research area interests are data warehouse and OLAP Tools, big data, service engineering, and distributed databases. He has around 85 research papers published in peer-reviewed journals and international conferences.
Agostino Cortesi is currently working as a professor, in the Department of Environmental Sciences, Informatics and Statistics, at Ca' Foscari University, Italy. He has over 25 years of experience in software verification, having published over 150 articles in high-level international journals and international conference proceedings. His research interests focus on static analysis techniques, with particular emphasis on abstract interpretation.
Content
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