Reliability and Statistics in Transportation and Communication : Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia / edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Networks and Systems ; 640Verlag: Cham : Springer International Publishing, 2023Verlag: Cham : Imprint: Springer, 2023Auflage: 1st ed. 2023Beschreibung: 1 Online-Ressource(XIII, 540 p. 215 illus., 154 illus. in color.)ISBN:

9783031266553

Schlagwörter:

Andere physische Formen: 9783031266546 | 9783031266560 | Erscheint auch als: 9783031266546 Druck-Ausgabe | Erscheint auch als: 9783031266560 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-26655-3Online-Ressourcen:

Zusammenfassung: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022, in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches. .PPN: PPN: 1837691924Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT

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