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  • Yap Bee Wah

    Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.

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    EUR 308,49

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    Paperback. Condizione: new. Paperback. The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 1112, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications. The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Wah, Yap Bee (Edited by)/ Al-Jumeily, Dhiya (Edited by)/ Berry, Michael W. (Edited by)

    Lingua: Inglese

    Editore: Springer, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: Revaluation Books, Exeter, Regno Unito

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    EUR 297,63

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    Paperback. Condizione: Brand New. 500 pages. 9.25x6.10 inches. In Stock.

  • Yap Bee Wah

    Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: CitiRetail, Stevenage, Regno Unito

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    Paperback. Condizione: new. Paperback. The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 1112, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications. The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Yap Bee Wah (u. a.)

    Lingua: Inglese

    Editore: Springer, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: preigu, Osnabrück, Germania

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    EUR 256,60

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    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. Data Science and Emerging Technologies | Proceedings of DaSET 2024 | Yap Bee Wah (u. a.) | Taschenbuch | Lecture Notes on Data Engineering and Communications Technologies | xx | Englisch | 2025 | Springer | EAN 9789819677481 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Yap Bee Wah

    Lingua: Inglese

    Editore: Springer, Berlin, Springer, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: AHA-BUCH GmbH, Einbeck, Germania

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 11 12, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications.

  • Yap Bee Wah

    Lingua: Inglese

    Editore: Springer Nature Switzerland AG, Cham, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: AussieBookSeller, Truganina, VIC, Australia

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    EUR 438,14

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    Paperback. Condizione: new. Paperback. The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 1112, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications. The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Yap Bee Wah

    Lingua: Inglese

    Editore: Springer, Berlin, Springer, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

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    EUR 299,59

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 11 12, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications. 734 pp. Englisch.

  • Yap Bee Wah

    Lingua: Inglese

    Editore: Springer, Springer Okt 2025, 2025

    ISBN 10: 9819677483 ISBN 13: 9789819677481

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book presents selected papers from the Third International Conference on Data Science and Emerging Technologies (DaSET 2024), held hybrid at UNITAR International University. Malaysia, from December 1112, 2024. This book aims to present current research and applications of data science and emerging technologies. The deployment of data science and emerging technology contributes to the achievement of the Sustainable Development Goals for social inclusion, environmental sustainability, and economic prosperity. Data science and emerging technologies such as generative AI, artificial intelligence and blockchain are useful for various domains such as marketing, health care, education, finance, banking, environmental, and agriculture. An important grand challenge in data science is to determine how developments in generative AI, computational, and social-behavioral sciences can be combined to improve well-being, emergency response, sustainability, and civic engagement in a well-informed, data-driven society. The topics of this book include, but are not limited to: generative AI, artificial intelligence, machine and deep learning, statistical learning, and health and industrial applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 756 pp. Englisch.