LEADER 04474nam 22006255 450 001 9910574046403321 005 20230725073731.0 010 $a3-031-06746-0 024 7 $a10.1007/978-3-031-06746-4 035 $a(MiAaPQ)EBC7001156 035 $a(Au-PeEL)EBL7001156 035 $a(CKB)22895144900041 035 $a(DE-He213)978-3-031-06746-4 035 $a(PPN)267815131 035 $a(EXLCZ)9922895144900041 100 $a20220526d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Advances in Dependability of Networks and Systems $eProceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 ? July 1, 2022, Wroc?aw, Poland /$fedited by Wojciech Zamojski, Jacek Mazurkiewicz, Jaros?aw Sugier, Tomasz Walkowiak, Janusz Kacprzyk 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (413 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v484 311 08$aPrint version: Zamojski, Wojciech New Advances in Dependability of Networks and Systems Cham : Springer International Publishing AG,c2022 9783031067457 320 $aIncludes bibliographical references and index. 327 $aMeasures 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. 330 $aThe book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wroc?aw, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v484 606 $aComputational intelligence 606 $aDynamics 606 $aNonlinear theories 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aApplied Dynamical Systems 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aApplied Dynamical Systems. 615 24$aArtificial Intelligence. 676 $a004 676 $a004.2 702 $aZamojski$b Wojciech 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910574046403321 996 $aNew advances in dependability of networks and systems$92994696 997 $aUNINA