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Language: English
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119665590 ISBN 13: 9781119665595
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Hardcover. Condition: Brand New. 384 pages. 9.50x6.50x1.00 inches. In Stock.
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Condition: New. Barclay R. Brown, PhD, is the Associate Director for Artificial Intelligence for Collins Aerospace, a division of Raytheon Technologies. Prior to that he was an Engineering Fellow in the missile systems division of Raytheon, and before that served as a Glob.
Language: English
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119665590 ISBN 13: 9781119665595
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 384 pages. 9.50x6.50x1.00 inches. In Stock.
Condition: New. 2024th edition NO-PA16APR2015-KAP.
Taschenbuch. Condition: Neu. Artificial Intelligence and System Engineering | Proceedings of 8th Computational Methods in Systems and Software 2024, Volume 2 | Radek Silhavy (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2025 | Springer | EAN 9783031967580 | 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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Language: English
Published by Springer, Springer International Publishing, 2025
ISBN 10: 3031967585 ISBN 13: 9783031967580
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively.
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Taschenbuch. Condition: Neu. Knowledge Engineering | Knowledge engineering, Knowledge, Computer, Expert, Software engineering, Computer science, Artificial intelligence, Database, Data mining, Expert system | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130253592 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10: 3031967585 ISBN 13: 9783031967580
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. 593 pp. Englisch.
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Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 3031967585 ISBN 13: 9783031967580
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Paperback. Condition: new. Paperback. This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer, Palgrave Macmillan Aug 2025, 2025
ISBN 10: 3031967585 ISBN 13: 9783031967580
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 612 pp. Englisch.
Language: English
Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 3031967585 ISBN 13: 9783031967580
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Paperback. Condition: new. Paperback. This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 3031967585 ISBN 13: 9783031967580
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Paperback. Condition: new. Paperback. This book presents cutting-edge research from CoMeSySo 2024, bridging theoretical insights and practical solutions across modern computing. Highlighting data-driven methodologies, innovative modelling, and robust optimization strategies, this book uniquely integrates interdisciplinary approaches to complex computational problems. Through real-world case studies, readers gain actionable insights applicable to diverse fields such as artificial intelligence, cybersecurity, e-learning, and operational logistics.Targeted at academic researchers, industry specialists, and graduate students, the compilation provides valuable frameworks and advanced analytical tools for enhancing performance, efficiency, and decision-making. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. The presented studies, encompassing adaptive network modelling, deep learning applications, and novel AI-driven frameworks, equip readers to tackle emerging challenges and drive future advancements effectively. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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