Isbn: 9781041153863 - artificial intelligence for medical data processing: algorithms and applications (11 risultati)

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, 2026

    1041153864 / 9781041153863

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  • Lingua: Inglese

    Editore: CRC Press, 2026

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, 2026

    1041153864 / 9781041153863

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1041153864 / 9781041153863

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 228,47

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1041153864 / 9781041153863

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1041153864 / 9781041153863

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    Condizione: New. Chetna Sharma is working as an Assistant Professor in Chitkara University, Punjab. Her areas of expertise include Machine Learning, Soft Computing, Pattern Recognition, Image Processing, and Artificial Intelligence.Amandeep Kaur is c.

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1041153864 / 9781041153863

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: CRC Press Aug 2026, 2026

    1041153864 / 9781041153863

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 288,42

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    Buch. Condizione: Neu. Neuware - This book showcases the potential of artificial intelligence to transform diagnostics, predictive analytics, personalized treatment, and healthcare resource optimization. It presents real-world applications and emerging trends, such as quantum computing, federated learning, and edge artificial intelligence. Features: - Explores the intersection of artificial intelligence and neuroscience, including applications in understanding brain disorders, cognitive functions, and neuroimaging data processing. - Provides insights into emerging technologies such as quantum computing and their potential to revolutionize medical data processing, accelerate artificial intelligence algorithms, and solve previously intractable problems in healthcare. - Analyzes advanced strategies for identifying and mitigating biases in artificial intelligence models, ensuring compliance with global healthcare regulations and fostering ethical artificial intelligence adoption. - Discusses the application of multi-agent artificial intelligence systems in optimizing hospital operations, emergency response, and resource management in healthcare ecosystems. - Covers the use of generative models, such as generative adversarial network and variational autoencoders, in drug design, protein structure prediction, and the creation of synthetic biomedical datasets. The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, drug delivery, and information technology.…

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1041153864 / 9781041153863

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    Hardcover. Condizione: new. Hardcover. This book showcases the potential of artificial intelligence to transform diagnostics, predictive analytics, personalized treatment, and healthcare resource optimization. It presents real-world applications and emerging trends, such as quantum computing, federated learning, and edge artificial intelligence. Features:Explores the intersection of artificial intelligence and neuroscience, including applications in understanding brain disorders, cognitive functions, and neuroimaging data processing.Provides insights into emerging technologies such as quantum computing and their potential to revolutionize medical data processing, accelerate artificial intelligence algorithms, and solve previously intractable problems in healthcare.Analyzes advanced strategies for identifying and mitigating biases in artificial intelligence models, ensuring compliance with global healthcare regulations and fostering ethical artificial intelligence adoption.Discusses the application of multi-agent artificial intelligence systems in optimizing hospital operations, emergency response, and resource management in healthcare ecosystems.Covers the use of generative models, such as generative adversarial network and variational autoencoders, in drug design, protein structure prediction, and the creation of synthetic biomedical datasets.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, drug delivery, and information technology. The text provides a detailed exploration of artificial intelligence algorithms and their applications in medical data processing. It addresses the unique challenges posed by medical data, including heterogeneity, high dimensionality, and privacy concerns. 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. …

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1041153864 / 9781041153863

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    EUR 231,58

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    Hardcover. Condizione: new. Hardcover. This book showcases the potential of artificial intelligence to transform diagnostics, predictive analytics, personalized treatment, and healthcare resource optimization. It presents real-world applications and emerging trends, such as quantum computing, federated learning, and edge artificial intelligence. Features:Explores the intersection of artificial intelligence and neuroscience, including applications in understanding brain disorders, cognitive functions, and neuroimaging data processing.Provides insights into emerging technologies such as quantum computing and their potential to revolutionize medical data processing, accelerate artificial intelligence algorithms, and solve previously intractable problems in healthcare.Analyzes advanced strategies for identifying and mitigating biases in artificial intelligence models, ensuring compliance with global healthcare regulations and fostering ethical artificial intelligence adoption.Discusses the application of multi-agent artificial intelligence systems in optimizing hospital operations, emergency response, and resource management in healthcare ecosystems.Covers the use of generative models, such as generative adversarial network and variational autoencoders, in drug design, protein structure prediction, and the creation of synthetic biomedical datasets.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, drug delivery, and information technology. The text provides a detailed exploration of artificial intelligence algorithms and their applications in medical data processing. It addresses the unique challenges posed by medical data, including heterogeneity, high dimensionality, and privacy concerns. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1041153864 / 9781041153863

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    EUR 229,65

    EUR 43,54 spedizione 
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    Quantità: 1 disponibile

    Hardcover. Condizione: new. Hardcover. This book showcases the potential of artificial intelligence to transform diagnostics, predictive analytics, personalized treatment, and healthcare resource optimization. It presents real-world applications and emerging trends, such as quantum computing, federated learning, and edge artificial intelligence. Features:Explores the intersection of artificial intelligence and neuroscience, including applications in understanding brain disorders, cognitive functions, and neuroimaging data processing.Provides insights into emerging technologies such as quantum computing and their potential to revolutionize medical data processing, accelerate artificial intelligence algorithms, and solve previously intractable problems in healthcare.Analyzes advanced strategies for identifying and mitigating biases in artificial intelligence models, ensuring compliance with global healthcare regulations and fostering ethical artificial intelligence adoption.Discusses the application of multi-agent artificial intelligence systems in optimizing hospital operations, emergency response, and resource management in healthcare ecosystems.Covers the use of generative models, such as generative adversarial network and variational autoencoders, in drug design, protein structure prediction, and the creation of synthetic biomedical datasets.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, drug delivery, and information technology. The text provides a detailed exploration of artificial intelligence algorithms and their applications in medical data processing. It addresses the unique challenges posed by medical data, including heterogeneity, high dimensionality, and privacy concerns. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …