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This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting;
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and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel;
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This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high;
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classification. Computational intelligence (CI) establishes a comprehensive framework aimed at fostering the paradigm of pattern recognition. The;
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Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems;
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explore several advanced topics. The book's advanced topics demonstrate how modern artificial intelligence and computational intelligence;
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This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;
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This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way;
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Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search;
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Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search;
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Offering a wide range of programming examples implemented in MATLAB (R), Computational Intelligence Paradigms: Theory and Applications;
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Offering a wide range of programming examples implemented in MATLAB (R), Computational Intelligence Paradigms: Theory and Applications;
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understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced;
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-based techniques can be effectively utilized for image analysis purposes; and Part IV shows how pattern recognition, classification and;
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This book shows how wavelets can be used to enhance computational intelligence for chaotic and complex pattern recognition problems. By;
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of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for;
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Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational;
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The book titled Advanced Computational and Communication Paradigms: Proceedings of International Conference on ICACCP 2017, Volume 2;
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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;
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This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The;
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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research;
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of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely;
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This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending;
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values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on;
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Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book;
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Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced;
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Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;
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