9781041153863 - artificial intelligence for medical data processing: algorithms and applications (multimedia and multimodal intelligence) (6 resultados)

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 225,76
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Condición: New.

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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 255,67
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Condición: New.

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Librería: moluna, Greven, Alemaniamoluna
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EUR 209,44
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Condición: 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.

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 256,70
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 233,57
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Hardcover. Condición: 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 artifici…al 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.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 228,41
Envío por EUR 43,30Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 artifici…al 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.