d'angelo massimo (29 risultati)

Condizione: 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.

Condizione: Very Good. 1700565911. 11/21/2023 11:25:11 AM.

Paperback. Condizione: New.

Brossura. Condizione: new. Caserta, 2023; br., pp. 120, cm 15x21. (Topkapi). Istanbul, la sua vitalità e sfrontatezza rappresentavano il simbolo di una Turchia che si apriva al mondo. In pochi anni, però, tante cose sono cambiate. Questo libro ripercorre le principali vicende del Paese, in particolar modo da quando Recep Tayyip Erdo?an ne è diventato il padrone assoluto. La narrazione degli eventi è accompagnata dalla descrizione degli spazi della città, di quelli della libertà che si riducono e di quelli della resistenza che ancora esistono. Libro.

Paperback. Condizione: Brand New. 116 pages. Italian language. 9.06x5.91x0.28 inches. In Stock.

Paperback. Condizione: New.

Condizione: Good. La condizione del libro è buona, è perfettamente leggibile, potrebbe avere rade annotazioni e sottolineature a matita, qualche rada fioriture e i segni di un fisiologico invecchiamento.La copertina del libro è in buone condizioni, potrebbe presentare fisiologici segni del tempo, il dorso presenta un lieve stress da lettura. **Per foto ed ulteriori informazioni contattateci** . Buono (Good). Book.

Condizione: buono. Politica ed Economia Economia e Capitalismo Historical and Political studies Politics and Economics Economy and Capitalism Ministero degli Affari Esteri Dipartimento per la Cooperazione allo sviluppo bross. edit. con titoli, minima brunitura al dorso.

Hardback. Condizione: New.

Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condizione: 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 | vii | Englisch | 2026 | Springer | EAN 9783031707773 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: New. 2024th edition NO-PA16APR2015-KAP.

Buch. Condizione: 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.

Taschenbuch. Condizione: 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. Condizione: Brand New. 163 pages. 9.25x6.10x9.49 inches. In Stock.

Paperback. Condizione: New.

brossura. Condizione: Molto buono (Very Good). Dalla politica all'economia, dai flussi demografici alla configurazione del territorio, dalla struttura urbanistica alle realizzazioni architettoniche, dalle istituzioni scolastiche e universitarie ai fermenti culturali, alle arti figurative, ai giornali, ai vari aspetti della vita quotidiana, l'affresco ampio e articolato di una città meridionale negli anni Venti e Trenta.Un'operazione di recupero della memoria storica e al contempo una rigorosa riflessione critica su uno dei momenti nodali della storia di Messina, in cui è possibile riscontrare sia i germi di successivi sviluppi che le radici di squilibri e contraddizioni irrisolti.Codice interno:gz31Condizioni: Molto buone, segni lievi dovuti al fattore tempo, qualche sottolineatura a matitaAutore:Rosario Battaglia, Maria D'Angelo, Santi Fedele, Massimo Lo Curzio, a cura diPubblicazione:Messina, Sicania, 1997Lingua:ItalianoPagine: 2 voll., 708 p., ill., brossura con aletteDimensione:14,5x23 cm.ISBN 10:8872680751ISBN 13:9788872680759. Book.

Brossura illustrata. Condizione: Buono stato. Testo Francese/tedesco.

Paperback. Condizione: New.

Hardback. Condizione: New.

Portfolio précédé de Farewell, Anaïs, farewell? par Alain-Valery Aelberts - Saint-Pierre-Capelle (Belgique) : Lettera Amorosa, 1972 - un volume en feuilles, 32x40,5cm comprenant quatre gravures originales toutes signées par les artistes : lithographie en couleurs rehaussée à la main par Sergio Dangelo, eau-forte en noir d?Adrien Dax, pochoir en couleurs de Wout Hoeboer et eau-forte en bistre de Massimo Radicioni - très bon état - Edition originale en tirage limité à 33 exemplaires : un des 24 exemplaires sur vélin de Lana (exemplaire N°5) avec un envoi autographe signé de Alain-Valery Aelberts. Livres.

Condizione: new. Questo è un articolo print on demand.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 164 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 164 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. 164 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.¿Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.