New Advances in Dependability of Networks and Systems: Proceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 – July 1, 2022, Wrocław, Poland: Lecture Notes in Networks and Systems, cartea 484
Editat de Wojciech Zamojski, Jacek Mazurkiewicz, Jarosław Sugier, Tomasz Walkowiak, Janusz Kacprzyken Limba Engleză Paperback – 27 mai 2022
Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically andconstantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.
Din seria Lecture Notes in Networks and Systems
- 20% Preț: 1019.63 lei
- 20% Preț: 1286.10 lei
- Preț: 282.79 lei
- 20% Preț: 1463.18 lei
- 18% Preț: 1105.88 lei
- 20% Preț: 1462.99 lei
- 20% Preț: 1459.86 lei
- 20% Preț: 999.35 lei
- 20% Preț: 1348.81 lei
- 18% Preț: 966.27 lei
- 20% Preț: 1690.34 lei
- 20% Preț: 1231.37 lei
- 20% Preț: 1317.46 lei
- 20% Preț: 1325.71 lei
- 20% Preț: 1833.90 lei
- 20% Preț: 1979.90 lei
- 20% Preț: 1948.56 lei
- 20% Preț: 755.70 lei
- 20% Preț: 700.41 lei
- 20% Preț: 2272.77 lei
- 5% Preț: 1898.20 lei
- 20% Preț: 1330.67 lei
- 20% Preț: 1468.26 lei
- 20% Preț: 988.32 lei
- 20% Preț: 1749.74 lei
- 20% Preț: 1790.99 lei
- 18% Preț: 1107.73 lei
- 18% Preț: 1160.45 lei
- 18% Preț: 1549.36 lei
- 20% Preț: 1642.52 lei
- 18% Preț: 3101.88 lei
- 24% Preț: 1770.57 lei
- 18% Preț: 1608.06 lei
- 15% Preț: 577.07 lei
- 20% Preț: 1958.48 lei
- 20% Preț: 1943.60 lei
- 18% Preț: 1404.93 lei
- 20% Preț: 1463.49 lei
- 18% Preț: 1570.03 lei
- 20% Preț: 1018.85 lei
- 18% Preț: 1229.10 lei
- 20% Preț: 1646.63 lei
- 20% Preț: 1299.31 lei
- 20% Preț: 1456.88 lei
- 18% Preț: 1854.17 lei
- 20% Preț: 1648.27 lei
Preț: 1163.72 lei
Preț vechi: 1454.65 lei
-20% Nou
Puncte Express: 1746
Preț estimativ în valută:
222.70€ • 231.09$ • 186.14£
222.70€ • 231.09$ • 186.14£
Carte tipărită la comandă
Livrare economică 17-31 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783031067457
ISBN-10: 3031067452
Pagini: 400
Ilustrații: XIV, 400 p. 153 illus., 107 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Networks and Systems
Locul publicării:Cham, Switzerland
ISBN-10: 3031067452
Pagini: 400
Ilustrații: XIV, 400 p. 153 illus., 107 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.58 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Networks and Systems
Locul publicării:Cham, Switzerland
Cuprins
Measures of Outlierness in High-Dimensional Data under Correlation of Features - with Application for Open-Set Classification, Szymon Datko, Henryk Maciejewski, Tomasz Walkowiak.- Multiprocessor tasks scheduling - Fuzzy Logic Approach, Dariusz Dorota.- Nonparametric tracking for time-varying nonlinearities using the kernel method, Purva Joshi, Grzegorz Mzyk.- Embedded systems' startup code optimization, Patryk Pankiewicz.- Influence of accelerometer placement on biometric gaitidentification, Aleksander Sawicki.- An Impact of Data Augmentation Techniques on the Robustness of CNNs, Kamil Szyc.- Dual Learning Model for Multiclass Brain Tumor classification, Rohit Thanki, Sanna Kaddoura.
Textul de pe ultima copertă
The book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation.
Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.
Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.
Caracteristici
Presents recent research in Complex Systems and Dependability Addresses proceedings of the Seventeenth International Conference on Dependability and Complex Systems (DepCoS-RELCOMEX) Provides general aspects and dependability of systems, networks theory, and communication technology