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 | ISBN 9783031266546

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

herausgegeben von Igor Kabashkin, Irina Yatskiv und Olegas Prentkovskis
Mitwirkende
Herausgegeben vonIgor Kabashkin
Herausgegeben vonIrina Yatskiv
Herausgegeben vonOlegas Prentkovskis
Buchcover Reliability and Statistics in Transportation and Communication  | EAN 9783031266546 | ISBN 3-031-26654-4 | ISBN 978-3-031-26654-6

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

herausgegeben von Igor Kabashkin, Irina Yatskiv und Olegas Prentkovskis
Mitwirkende
Herausgegeben vonIgor Kabashkin
Herausgegeben vonIrina Yatskiv
Herausgegeben vonOlegas Prentkovskis

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.