Gianni dangelo (8 Ergebnisse)

- Hardcover
Anbieter: Books From California, Simi Valley, CA, USABooks From California
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EUR 8,04
EUR 4,39 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
hardcover. Zustand: Very Good.

Let the Children Play, Sport Can Change the World
Eduardo Galeano; Tahar Ben Jalloun; Predrag Matvenjebic; Mercedes Abad; Claudio Arrigoni; Massimiliano Carbonaro; Maruro Casadio; Roger Cohen; Massimo Dini; Stash Luczkiw
- Hardcover
Anbieter: MusicMagpie, Stockport, Vereinigtes KönigreichMusicMagpie
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EUR 8,44
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Zustand: Very Good. Zustand des Schutzumschlags: 45141014. 1700565911. 11/21/2023 11:25:11 AM.

Let the Children Play
Eduardo Galeano; Tahar Ben Jalloun; Predrag Matvenjebic; Mercedes Abad; Claudio Arrigoni; Massimiliano Carbonaro; Maruro Casadio; Roger Cohen; Massimo Dini; Stash Luczkiw
- Hardcover
Anbieter: medimops, Berlin, Deutschlandmedimops
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EUR 4,90
EUR 10,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Verlag: Zürich. Niggli AG. . 2007
- Hardcover
Anbieter: Antiquariat & Verlag Jenior, Kassel, HE, DeutschlandAntiquariat & Verlag Jenior
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EUR 20,00
EUR 35,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
275 S. Leinen mit Schutzumschlag. Sauberes Exemplar ohne Stempel und Anstreichungen. Zahlreiche Abbildungen und Tafeln. 4°. Sehr gut erhalten. Sprache: deu.

- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 166,90
EUR 70,00 VersandVersand von Deutschland nach USAAnzahl: 5 verfügbar
Taschenbuch. Zustand: Neu. Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems | System Protection and Data Analysis | Massimo Ficco (u. a.) | Taschenbuch | Engineering Cyber-Physical Systems and Critical Infrastructures | Englisch | 2026 | Springer | EAN 9783031707773 | Verantwortli…che Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 192,59
EUR 62,08 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The advances in Internet of things and artificial intelli…gence (AI) have witnessed great progress on healthcare technologies in several application domains. In particular, the interconnection between the physical spaces, characterized by physical devices able to collect users' health information, with the cyberspace, also known as the virtual space, has fostered the development of intelligent Medical Cyber-Physical Systems (MCPSs) with the capability to deliver real-time healthcare services. On the other hand, the potential innovation that these technologies bring to improve patient care, by remotely analysing health parameters using medical devices, advanced smart sensors, and AI, is hampered by security and privacy challenges related to the managed sensitive data. Starting from the state of the art on AI and ML for medical applications and digital health, an accurate analysis of privacy and security risks associated with the use of the MCPSs is presented. Then, Digital Twins are introduced as a significant technique to enhance decision-making through learning and reasoning of collected on-field real-time data. Moreover, decentralized healthcare data management approaches based on federated learning, tiny machine learning, and blockchain technologies have been introduced to shift control and responsibility of healthcare data management from individual centralized entities to a more distributed structure, preserving privacy and security. Finally, the application of AI-based security monitoring approaches in healthcare is discussed. In this book, both theoretical and practical approaches are used to allow readers to understand complex topics and concepts easily also through real-life scenarios.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 199,77
EUR 61,30 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The advances in Internet of things and artificial…intelligence (AI) have witnessed great progress on healthcare technologies in several application domains. In particular, the interconnection between the physical spaces, characterized by physical devices able to collect users' health information, with the cyberspace, also known as the virtual space, has fostered the development of intelligent Medical Cyber-Physical Systems (MCPSs) with the capability to deliver real-time healthcare services. On the other hand, the potential innovation that these technologies bring to improve patient care, by remotely analysing health parameters using medical devices, advanced smart sensors, and AI, is hampered by security and privacy challenges related to the managed sensitive data. Starting from the state of the art on AI and ML for medical applications and digital health, an accurate analysis of privacy and security risks associated with the use of the MCPSs is presented. Then, Digital Twins are introduced as a significant technique to enhance decision-making through learning and reasoning of collected on-field real-time data. Moreover, decentralized healthcare data management approaches based on federated learning, tiny machine learning, and blockchain technologies have been introduced to shift control and responsibility of healthcare data management from individual centralized entities to a more distributed structure, preserving privacy and security. Finally, the application of AI-based security monitoring approaches in healthcare is discussed. In this book, both theoretical and practical approaches are used to allow readers to understand complex topics and concepts easily also through real-life scenarios.

- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 278,59
EUR 11,61 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
Hardcover. Zustand: Brand New. 163 pages. 9.25x6.10x9.49 inches. In Stock.