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Publicado por Elsevier Science & Technology, 2023
ISBN 10: 0323994210 ISBN 13: 9780323994217
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Idioma: Inglés
Publicado por Academic Press 2023-01-26, 2023
ISBN 10: 0323994210 ISBN 13: 9780323994217
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Idioma: Inglés
Publicado por Elsevier Science & Technology, 2023
ISBN 10: 0323994210 ISBN 13: 9780323994217
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Idioma: Inglés
Publicado por Elsevier Science and Technology, GB, 2023
ISBN 10: 0323994210 ISBN 13: 9780323994217
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Añadir al carritoPaperback. Condición: New. Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data.
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Añadir al carritoCondición: New. Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthca.
Idioma: Inglés
Publicado por Elsevier Science & Technology, 2023
ISBN 10: 0323994210 ISBN 13: 9780323994217
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Añadir al carritoTaschenbuch. Condición: Neu. Computational Intelligence for Medical Internet of Things (MIoT) Applications | Machine Intelligence Applications for IoT in Healthcare | Ahmed A. Abd El-Latif (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Elsevier Science & Technology | EAN 9780323994217 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2026
ISBN 10: 1394386621 ISBN 13: 9781394386628
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Añadir al carritoHardcover. Condición: new. Hardcover. Through comprehensive insights and real-world case studies, this book features in-depth knowledge of key concepts relating to optimizing biomedical IoMT systems. Biomedical Internet of Medical Things is a technological paradigm encompassing a range of technologies that enable machines to mimic human intelligence. Machine and deep learning algorithms facilitate self-learning for the discovery of hidden patterns, associations, and risks from voluminous datasets. Computer vision and natural language processing are prominent applications of AI, allowing machines to see and understand the world in ways previously only possible for humans. In healthcare, generative techniques can analyze large and complex datasets from wearable sensors, identifying patterns and trends that can aid in detecting, diagnosing, and monitoring chronic diseases. This book comprehensively consolidates the latest technologies, groundbreaking research, and practical applications of computational intelligence in biomedical IoMT, with a strong emphasis on optimizing healthcare information systems. Readers will find the volume: Explores the transformative role of computational intelligence in the Internet of Medical Things (IoMT), demonstrating how intelligent systems enhance healthcare efficiency, accuracy, and patient-centric solutions at various scales;Examines key computational intelligence techniques and algorithms used in modern biomedical IoMT applications, emphasizing their impact on real-time diagnostics, personalized treatment, and remote patient monitoring;Highlights the evolution of AI-driven paradigms in biomedical IoMT, showcasing their role in predictive analytics, automated decision-making, and adaptive healthcare systems;Investigates the integration of trust management and advanced cybersecurity frameworks in intelligent healthcare networks. Audience Academics, research scholars, and industry professionals in the fields of mathematics, computer science, information technology, and health science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2026
ISBN 10: 1394386621 ISBN 13: 9781394386628
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Añadir al carritoHardcover. Condición: new. Hardcover. Through comprehensive insights and real-world case studies, this book features in-depth knowledge of key concepts relating to optimizing biomedical IoMT systems. Biomedical Internet of Medical Things is a technological paradigm encompassing a range of technologies that enable machines to mimic human intelligence. Machine and deep learning algorithms facilitate self-learning for the discovery of hidden patterns, associations, and risks from voluminous datasets. Computer vision and natural language processing are prominent applications of AI, allowing machines to see and understand the world in ways previously only possible for humans. In healthcare, generative techniques can analyze large and complex datasets from wearable sensors, identifying patterns and trends that can aid in detecting, diagnosing, and monitoring chronic diseases. This book comprehensively consolidates the latest technologies, groundbreaking research, and practical applications of computational intelligence in biomedical IoMT, with a strong emphasis on optimizing healthcare information systems. Readers will find the volume: Explores the transformative role of computational intelligence in the Internet of Medical Things (IoMT), demonstrating how intelligent systems enhance healthcare efficiency, accuracy, and patient-centric solutions at various scales;Examines key computational intelligence techniques and algorithms used in modern biomedical IoMT applications, emphasizing their impact on real-time diagnostics, personalized treatment, and remote patient monitoring;Highlights the evolution of AI-driven paradigms in biomedical IoMT, showcasing their role in predictive analytics, automated decision-making, and adaptive healthcare systems;Investigates the integration of trust management and advanced cybersecurity frameworks in intelligent healthcare networks. Audience Academics, research scholars, and industry professionals in the fields of mathematics, computer science, information technology, and health science. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Elsevier Science and Technology, GB, 2023
ISBN 10: 0323994210 ISBN 13: 9780323994217
Librería: Rarewaves.com UK, London, Reino Unido
EUR 165,07
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Añadir al carritoPaperback. Condición: New. Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data.
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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2026
ISBN 10: 1394386621 ISBN 13: 9781394386628
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 324,45
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Añadir al carritoHardcover. Condición: new. Hardcover. Through comprehensive insights and real-world case studies, this book features in-depth knowledge of key concepts relating to optimizing biomedical IoMT systems. Biomedical Internet of Medical Things is a technological paradigm encompassing a range of technologies that enable machines to mimic human intelligence. Machine and deep learning algorithms facilitate self-learning for the discovery of hidden patterns, associations, and risks from voluminous datasets. Computer vision and natural language processing are prominent applications of AI, allowing machines to see and understand the world in ways previously only possible for humans. In healthcare, generative techniques can analyze large and complex datasets from wearable sensors, identifying patterns and trends that can aid in detecting, diagnosing, and monitoring chronic diseases. This book comprehensively consolidates the latest technologies, groundbreaking research, and practical applications of computational intelligence in biomedical IoMT, with a strong emphasis on optimizing healthcare information systems. Readers will find the volume: Explores the transformative role of computational intelligence in the Internet of Medical Things (IoMT), demonstrating how intelligent systems enhance healthcare efficiency, accuracy, and patient-centric solutions at various scales;Examines key computational intelligence techniques and algorithms used in modern biomedical IoMT applications, emphasizing their impact on real-time diagnostics, personalized treatment, and remote patient monitoring;Highlights the evolution of AI-driven paradigms in biomedical IoMT, showcasing their role in predictive analytics, automated decision-making, and adaptive healthcare systems;Investigates the integration of trust management and advanced cybersecurity frameworks in intelligent healthcare networks. Audience Academics, research scholars, and industry professionals in the fields of mathematics, computer science, information technology, and health science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,06
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