Kabashkin / Yatskiv / Prentkovskis 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
1. Auflage 2023
ISBN: 978-3-031-26655-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 640, 528 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Kabashkin, Igor

Yatskiv, Irina

Prentkovskis, Olegas