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Rough Set and Statistical Approach to Knowledge Discovery | Dimension Reduction, Clustering and Classification Techniques
Language: English
Published by VDM Verlag Dr. Müller, 2011
ISBN 10: 3639347668 ISBN 13: 9783639347661
Taschenbuch. Condition: Neu. Rough Set and Statistical Approach to Knowledge Discovery | Dimension Reduction, Clustering and Classification Techniques | Asit Kumar Das (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639347661 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2020 (Advances in Intelligent Systems and Computing, 1120)
Book 351 of 540: Advances in Intelligent Systems and ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
Language: English
Published by Elsevier Science Publishing Co Inc, 2021
ISBN 10: 0128222603 ISBN 13: 9780128222607
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Data Analytics for Social Microblogging Platforms
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Data Analytics for Social Microblogging Platforms (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
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Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2023
Language: English
Published by Springer Nature Singapore, 2023
ISBN 10: 9819937337 ISBN 13: 9789819937332
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 776 | Sprache: Englisch | Produktart: Bücher | This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27ż28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
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Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (Intelligent Systems Reference Library)
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Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (Intelligent Systems Reference Library, 233)
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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
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Taschenbuch. Condition: Neu. Computational Intelligence in Pattern Recognition | Proceedings of CIPR 2020 | Asit Kumar Das (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xxvii | Englisch | 2020 | Springer | EAN 9789811524486 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
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Data Analytics for Social Microblogging Platforms
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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2021
ISBN 10: 0128222603 ISBN 13: 9780128222607
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 256.64
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Add to basketPaperback. Condition: New. Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis.
