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

Kabashkin, Igor; Yatskiv, Irina; Prentkovskis, Olegas

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. 

Details

Published by: Springer

Publication Date: 2023-02-21

Format: Paperback

ISBN-13: 9783031266546

DOI: 10.1007/978-3-031-26655-3

Dimensions: 235.0cm x155.0cm

Pages: 540.0