Isbn: 9781032968889 - federated learning for neural disorders in healthcare 6.0 (future generation information systems) (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Taylor and Francis Ltd, 2026

    1032968885 / 9781032968889

    Serie: Buch 8 von 9 - Future Generation Information Systems

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    PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

  • Sprache: Englisch

    Verlag: CRC Press, 2026

    1032968885 / 9781032968889

    Serie: Buch 8 von 9 - Future Generation Information Systems

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    Zustand: New. Kishor Kumar Reddy C is currently working as an associate professor in the Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience.

  • Sprache: Englisch

    Verlag: CRC Press Aug 2026, 2026

    1032968885 / 9781032968889

    Serie: Buch 8 von 9 - Future Generation Information Systems

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Neuware - This reference text offers a relevant and thorough examination of the overlap between neuroscience and federated learning. It explores the complexities of utilizing federated learning algorithms for MRI data analysis, demonstrating how to improve the accuracy and efficiency of diagnostic procedures. The book covers topics such as the prediction and diagnosis of Alzheimer's disease using neural networks and ensuring data privacy and security in federated learning for neural disorders.This book: - Provides a thorough examination of the transformative impact of federated learning on the diagnosis, treatment, and understanding of brain disorders - Focuses on combining federated learning with magnetic resonance imaging (MRI) data, which is a fundamental aspect of contemporary neuroimaging research - Examines the use of federated learning as a promising approach for collaborative data analysis in healthcare, with a focus on maintaining privacy and security - Explores the cutting-edge field of healthcare innovation by examining the interface of neuroscience and machine learning, with a specific focus on the breakthrough technique of federated learning - Offers a comprehensive understanding of how federated learning may transform patient care, covering both theoretical ideas and practical examples It is primarily written for graduate students and academic researchers in electrical engineering, electronics, and communication engineering, computer science and engineering, and biomedical engineering.…