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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.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (22nd : 2022 : Riga, Latvia ; Online)
- International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 640
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Transportation engineering.
- Traffic engineering.
- Statistics.
- Computational Intelligence.
- Transportation Technology and Traffic Engineering.
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Local Subjects:
- Computational Intelligence.
- Transportation Technology and Traffic Engineering.
- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
- Physical Description:
- 1 online resource (542 pages) : illustrations.
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- Summary:
- 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. .
- Notes:
- Includes author index.
- Includes bibliographical references and index.
- Other Format:
- Print version: Kabashkin, Igor Reliability and Statistics in Transportation and Communication
- ISBN:
- 3-031-26655-2
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