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1. |
Record Nr. |
UNINA9910309527803321 |
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Titolo |
Insolvenzordnung : InsO mit EuInsVOlz / herausgegeben von Karsten Schmidt |
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Pubbl/distr/stampa |
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München : C.H. Beck, 2016 |
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ISBN |
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Edizione |
[19. Auflage] |
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Descrizione fisica |
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Collana |
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Beck'sche Kurz=Kommentare ; 27 |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910960757103321 |
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Autore |
Norton Kingsley |
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Titolo |
Setting up new services in the NHS : 'just add water!' / / Kingsley Norton |
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Pubbl/distr/stampa |
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London ; ; Philadelphia, : Jessica Kingsley, 2006 |
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ISBN |
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9786611007287 |
9781281007285 |
1281007285 |
9781846425523 |
1846425522 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (210 p.) |
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Collana |
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Community, culture, and change ; ; 13 |
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Disciplina |
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Soggetti |
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Health planning - Great Britain |
National health services - Great Britain - Administration |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Setting Up New Servicesin the NHS:'Just Add Water!'; Contents; PREFACE; ACKNOWLEDGEMENTS; Part I:Setting Up theReplication Project; 1.Recipe and Ingredients; 2.The Blending; Part II:The New Services in Operation; 3.First Helpings; 4.Second Helpings; 5.Aftertaste; Part III:Reviewing the Project; 6.The Proof of the Pudding; 7.A Last Supper; 8.To Future Chefs; APPENDIX:NOTES OF THE EXTENDED REPLICATION MEETING; REFERENCES; SUBJECT INDEX; AUTHOR INDEX |
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Sommario/riassunto |
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Kingsley Norton takes the reader, step-by-step, through the entire process of setting up new services within the National Health Service. His wealth of hands-on experience and practical advice makes this book essential reading for anyone interested in management and the NHS or public services and attempting to innovate. |
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3. |
Record Nr. |
UNINA9910633913903321 |
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Titolo |
Predictive Data Security using AI : Insights and Issues of Blockchain, IoT, and DevOps / / edited by Hiren Kumar Thakkar, Mayank Swarnkar, Robin Singh Bhadoria |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (222 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1065 |
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Disciplina |
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Soggetti |
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Data protection |
Internet of things |
Artificial intelligence |
Data and Information Security |
Internet of Things |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction to Data Security with Machine Learning: Traditional Methods vs Recent Trends -- Data Security and Predictive Informatics: Issues, Challenges, and Opportunities -- Data Security Analytics using Machine Learning: Supervised and Unsupervised Approaches -- Data Security in Data Servers: Implementation of Security in Data Servers, Content Delivery Network Servers and Proxy Servers -- Data Security in Multimedia using AI: Perspective and Practices -- Data Security in Blockchain: Data Generation, Analysis and Predictions. |
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Sommario/riassunto |
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This contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides |
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the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues. |
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