Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 370 pages. 11.69x8.25x11.69 inches. In Stock.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 130,03
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Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 132,39
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Añadir al carritoHardback. Condición: New. Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use. This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis. Written by an international team of experts, the book presents several applications of machine learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing. Machine learning has many applications in processing patient data and topics such as arrhythmia detection, image-guided microsurgery and early detection of Alzheimer's disease are discussed in depth. The book also looks at machine learning applications exploiting wearable sensors for real-time analysis and concepts around enhancing physical performance. Suitable for an audience of computer scientists, healthcare engineers and those involved with digital medicine, this book brings together a plethora of machine learning applications from across the board of the healthcare services.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 137,13
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 152,13
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 142,17
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 146,05
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 143,22
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 161,14
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 152,15
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Librería: Chiron Media, Wallingford, Reino Unido
EUR 151,22
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Añadir al carritohardcover. Condición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 169,47
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Librería: Chiron Media, Wallingford, Reino Unido
EUR 164,56
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Añadir al carritoHardcover. Condición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 170,25
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 171,77
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 168,35
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 142,16
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Añadir al carritoHardback. Condición: New. Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use. This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis. Written by an international team of experts, the book presents several applications of machine learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing. Machine learning has many applications in processing patient data and topics such as arrhythmia detection, image-guided microsurgery and early detection of Alzheimer's disease are discussed in depth. The book also looks at machine learning applications exploiting wearable sensors for real-time analysis and concepts around enhancing physical performance. Suitable for an audience of computer scientists, healthcare engineers and those involved with digital medicine, this book brings together a plethora of machine learning applications from across the board of the healthcare services.
Idioma: Inglés
Publicado por Inst of Engineering & Technology, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: Revaluation Books, Exeter, Reino Unido
EUR 175,65
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 400 pages. 9.25x6.25x1.25 inches. In Stock.
Idioma: Inglés
Publicado por INSTITUTION OF ENGINEERING & T, 2023
ISBN 10: 1839533358 ISBN 13: 9781839533358
Librería: moluna, Greven, Alemania
EUR 160,43
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Añadir al carritoCondición: New. KlappentextThis edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how machine learning techniques can be appl.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 220,08
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Añadir al carritoCondición: New. 2023rd edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 231,30
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Añadir al carritoCondición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
Librería: preigu, Osnabrück, Alemania
EUR 157,95
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Añadir al carritoTaschenbuch. Condición: Neu. Digital Watermarking for Machine Learning Model | Techniques, Protocols and Applications | Lixin Fan (u. a.) | Taschenbuch | xvi | Englisch | 2024 | Springer | EAN 9789811975561 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Buchpark, Trebbin, Alemania
EUR 125,11
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 397 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 241,95
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 188,90
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model's owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, which makes them applicable to a wide variety of contexts. In terms of robustness, embedded watermarks must be robustly detectable against varying adversarial attacks that attempt to remove the watermarks. The efficacy of model watermarking methods is showcased in diverse applications including image classification, image generation, image captions, natural language processing and reinforcement learning. This book covers the motivations, fundamentals, techniques and protocols for protecting ML models using watermarking. Furthermore, it showcases cutting-edge work in e.g. model watermarking, signature and passport embedding and their use cases in distributed federated learning settings.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 190,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model's owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, which makes them applicable to a wide variety of contexts. In terms of robustness, embedded watermarks must be robustly detectable against varying adversarial attacks that attempt to remove the watermarks. The efficacy of model watermarking methods is showcased in diverse applications including image classification, image generation, image captions, natural language processing and reinforcement learning. This book covers the motivations, fundamentals, techniques and protocols for protecting ML models using watermarking. Furthermore, it showcases cutting-edge work in e.g. model watermarking, signature and passport embedding and their use cases in distributed federated learning settings.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 262,80
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.