Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9811607044 ISBN 13: 9789811607042
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Paperback. Condizione: new. Paperback. This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications. This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Lingua: Inglese
Editore: Springer-Nature New York Inc, 2021
ISBN 10: 9811607044 ISBN 13: 9789811607042
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Aggiungi al carrelloPaperback. Condizione: Brand New. 261 pages. 9.25x6.10x0.67 inches. In Stock.
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Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9811607044 ISBN 13: 9789811607042
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications. This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Big Data | 8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020, Revised Selected Papers | Hong Mei (u. a.) | Taschenbuch | xviii | Englisch | 2021 | Springer | EAN 9789811607042 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research ontheoretical and technical aspects on big data, as well as on digital economy demands in big data applications.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 351 | Sprache: Englisch | Produktart: Bücher | ¿This book introduces a new Model-Based Reliability System Engineering (MBRSE) methodology, including its concept connotation, basic theory and technologies, framework of integrated platform and engineering application cases. Different from traditional Reliability System Engineering (RSE) methods that mainly rely on the management of documents, MBRSE is model centric method, with which the design for hexability (including "reliability, maintainability, testability, supportability, environmental adaptability and safety") is performed by the revolution of united models in complete R&D fields and the process of closed- loop failure mitigation. This method can integrate all techniques and approaches of reliability engineering into the main process of R&D, and therefore is considered as a generalized hexability design and analysis tool. Furthermore, the future perspectives in the development of MBRSE are also presented through the combination of Digital Twin technology. The main objective of the book is to provide the readers who have engaged in theoretical and technical researches, project management and engineering design applications of reliability engineering, as well as for teachers, senior undergraduates and postgraduates in colleges and universities working on reliability engineering and system engineering.
Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Lingua: Inglese
Editore: Springer Nature Singapore Apr 2021, 2021
ISBN 10: 9811607044 ISBN 13: 9789811607042
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present.
Lingua: Inglese
Editore: Springer, Springer Apr 2021, 2021
ISBN 10: 9811607044 ISBN 13: 9789811607042
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020.The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch.
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book available on model-based reliability systems engineeringProvides the paradigm of reliability technology application based on system engineeringIncludes a complete methodology to deal with potential faults at different levels .
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