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 / edited by Wojciech Zamojski, Jacek Mazurkiewicz, Jarosław Sugier, Tomasz Walkowiak, Janusz Kacprzyk.

Format:

Book

Contributor:

Zamojski, Wojciech, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 484

Language:

English

Subjects (All):

Computational intelligence.

Dynamics.

Nonlinear theories.

Artificial intelligence.

Computational Intelligence.

Applied Dynamical Systems.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Applied Dynamical Systems.

Artificial Intelligence.

Physical Description:

1 online resource (413 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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.

Contents:

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Zamojski, Wojciech New Advances in Dependability of Networks and Systems

ISBN:

3-031-06746-0