Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
XII, 295 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 871. Sprache: Englisch.
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In den WarenkorbZustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Anbieter: GreatBookPrices, Columbia, MD, USA
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Zustand: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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EUR 128,41
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Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 151,71
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In den WarenkorbPaperback. Zustand: Brand New. 312 pages. 9.25x6.10x0.74 inches. In Stock.
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EUR 161,96
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In den WarenkorbHardcover. Zustand: Brand New. 312 pages. 9.25x6.10x0.83 inches. In Stock.
Anbieter: Lucky's Textbooks, Dallas, TX, USA
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EUR 166,05
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Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing Jan 2021, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing Jan 2020, 2020
ISBN 10: 3030338193 ISBN 13: 9783030338190
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. Neuware -This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 169,26
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Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394242530 ISBN 13: 9781394242535
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. This book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. includes real-life case studies highlighting different advanced technologies in computational intelligence;provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics;reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain;offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges;presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics;includes architectural models and applications-based augmented solutions for optimized computational intelligence. Audience The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030338223 ISBN 13: 9783030338220
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.
Sprache: Englisch
Verlag: Springer International Publishing, 2020
ISBN 10: 3030338193 ISBN 13: 9783030338190
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.
Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 175,24
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 161,95
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 171,70
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