Gianni D'angelo (26 results)

hardcover. Condition: Very Good.

Condition: 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.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condition: As New. Hardcover with dust jacket. Book is in excellent condition, text is unmarked and pages are tight.

Cartonato con sovracoperta. For Laureus Sport for Good Foundation.Numerose foto in b/n n.t. e f.t.Testo in inglese. Text in english. Numero di tavole: 0 pp.275 9783721206197 altezza 31 larghezza 30 Esemplare in buone condizioni.Sovraccoperta con macchie di polvere e segni di usura ai bordi e agli angoli.Pagine leggermente ingiallite ai bordi.Testo in inglese. Text in English. Book in good condition.…

Cartonato con sovracoperta. For Laureus Sport for Good Foundation.Numerose foto in b/n n.t. e f.t.Testo in inglese. Text in english. Numero di tavole: 0 pp.275 9783721206197 altezza 31 larghezza 30 Esemplare in buone condizioni.Sovraccoperta con macchie di polvere e leggeri segni di usura ai bordi e agli angoli. Tagli con tracce di polvere. Testo in inglese.Text in English. Book in good condition.…

Frontespizio: In collaborazione con Stefano Catucci . In 8° (cm 20,4 x 14), pp. [XVI] + 335. Leg. cart. tit. bianco al dorso rosso. Cofanetto cart. con strappetto. Condizioni molto buone.

275 S. Leinen mit Schutzumschlag. Sauberes Exemplar ohne Stempel und Anstreichungen. Zahlreiche Abbildungen und Tafeln. 4°. Sehr gut erhalten. Sprache: deu.

Hardcover. Condition: 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. Condition: 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.…

Taschenbuch. Condition: 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.…

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

Hardcover. Condition: Brand New. 163 pages. 9.25x6.10x9.49 inches. In Stock.

hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Brossura. Condition: come nuovo. Dust Jacket Condition: ottimo. prima edizione. Gli atti del convegno vedono la luce dopo anni di travaglio per la raccolta, la traduzione di alcune relazioni, i ripensamenti degli autori, gli scambi delle bozze. Li pubblichiamo per l'importanza e l'originalità del confronto diretto fra scuole e indirizzi storiografici diversi sulla ricezione che se ne ebbe nei vari paesi europei, tale da farne un testo evento (Boutry), che ha aperto alla Chiesa e al mondo cattolico uno spazio nuovo, liberatorio da forme e paure preclusive verso il dinamico svolgimento sociale proprio dell'economia capitalistica. Una acquisizione che non avviene alla data canonica del 15 maggio 1891, ma con una crescente gradualità, al tempo stesso pragmatica e riflessiva. Descrizione bibliografica I tempi della Rerum Novarum; Autori Vari; Curatore Gabriele De Rosa; Editore Rubbettino 2003; Lunghezza 786 pagine 23 cm; ISBN 9788849807042; Collana Istituto Luigi Sturzo Soggetti: Ecclesiologia Religione Cristianesimo Chiesa cattolica Dottrina Seminari Convegni Filosofia Teologia Encicliche papali Dogma Contesto Ottocento Novecento Realpolitik Leone XIII Rampolla Cultura Influsso tedesco Magistero Famiglia Donna Società di Organizzazione Missione Gerarchia Societé chrétienne Francia Français Encyclique Belgique Zentrum Politica Germania Storia Cattolicesimo Rivoluzione industriale Union de Fribourg Svizzera Newman Formazione dirigente germanica Repubblica Goriziano Slovenia Friulani Croazia Cesare Tondini de' Quarenghi Barnabiti Che fare? Russia Socialismo Comunismo Diplomazia italiana Romolo Murri Padri Pensiero economico contemporaneo Capitalismo Consenso Resistenza Piemontese Vescovi lombardi Provincia Impero austro-ungarico Trentino Veneto Emilia Romagna Murrismo Azione Genova Liguria Marche Questione sociale Umbria Toscana Lazio Problemi Campania Abruzzo Calabria Recezione Italia Meridionale Puglia Sicilia Esposizioni universali Internazionalismo Centesimus Annus Bibliografia leoniana Indici Riferimento Consultazione Collezionismo Libri rari fuori catalogo Codizioni economiche Concilio di Trento Vaticano Papi Giornali Diocesi Quadragesimo anno Mater et magistra Octogesima adveniens Matteo Liberatore Tommaso Maria Zigliara Codice di Camaldoli Movimento operaio cattolico Personalismo Gesuiti Luigi Taparelli D'Azeglio Documenti Vincenzo Tarozzi Marx Engels Saggio sulla libertà Stuart Mill Borghesia Tutela Ceti deboli Donne Bambini Lavoro minorile Sfruttamento Ricchezza Povertà Miseria Salario Retribuzione Giustizia Lotta di classe operaia Massoneria Ateismo Marxista Progresso Commercio Laissez faire Liberalismo Corporativismo Mediazione Pontefice Odio Schiavitù Padroni Diritti umani Lavoratori cristiani Associazioni Cardinali Carità Casse rurali Catholiques Clero Comitato Contadini Cooperazione Costituzione Opera dei Congressi Democrazia cristiana Friburgo von Hertling Giuseppe Toniolo Hitze Ketteler Kulturkampf Eglise Laicato Lettera Pastorale Liberale Medolago Pontificato Popolo Santa Sede De Gasperi America Domenico Tardini George Gibbons Giovanni Antonazzi D'Annibale Goessens Homini igitur John Tracy Manning Populorum Progressio Proletariato Proprietà Eduardo Soderini Sollicitudo rei socialis Volpini Profitto Riposo Ricchi Poveri Sciopero Summa Theologica Insegnamenti Thomas d'Aquino Usura Venerabili Fratelli Virtù Working Classes His Holiness Pope Leo Labor Unions Wages Earners Employers Wealth Welfare Ecclesiology Religion Christianity Catholic Church Doctrine Seminars Conferences Philosophy Theology Papal Encyclicals Context Nineteenth Twentieth century Culture Influence Magisterium Family Woman Organization Society Mission Hierarchy France Politics Germany History Catholicism Industrial revolution Switzerland Leadership Training Republic Croatia Barnabites What to do Socialism Communism Italian diplomacy Fathers Thought Capitalism Consensus Resistance Bishops Austro-Hungarian Empire Action Social question Problems Reception Southern Italy Sicily Expo Internationalism Leonine bibliography Ketteler.…

Brossura. Presenti numerose fotografie a colori e in b/n n.t. e f.t.Testo in inglese. Text in English. Numero di tavole: 0 pp.132 altezza 0 larghezza 0 Esemplare in buone condizioni.Copertina con macchie di polvere e leggeri segni di usura ai bordi e agli angoli.Ondulazione alla porzione superiore delle ultime pagine.Testo in inglese. Text in English. Book in good condition.…

Soft Cover. Condition: Good. Direcção de. Colaboradores: Estefano Catucci, Flavio Cuniberto, Tonino Griffero, Stefano Velotti. Colecção Lexis. Edições 70. Lisboa. 2003. De 23,5x15,5 cm. Com 376, [v] págs. Brochado. Com texto em duas colunas. Language: Português / Portuguese Location/localizacao: SACO DG051-6. …

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

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

Taschenbuch. Condition: 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. Condition: 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. Condition: 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.…

Taschenbuch. Condition: 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. Condition: Neu. nach der Bestellung gedruckt 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.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.