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Reliability and Statistics in Transportation and Communication


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
Lecture Notes in Networks and Systems, Band 640

von: Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis

287,83 €

Verlag: Springer
Format: PDF
Veröffentl.: 20.02.2023
ISBN/EAN: 9783031266553
Sprache: englisch

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Beschreibungen

<p>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&nbsp;Multidisciplinary&nbsp;Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022,&nbsp; in Riga, Latvia, in&nbsp;hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of&nbsp;artificial intelligent concepts into reliability approaches.&nbsp;</p><p><br></p><p><br></p><p><br></p>
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&nbsp;Multidisciplinary&nbsp;Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022,&nbsp; in Riga, Latvia, in&nbsp;hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of&nbsp;artificial intelligent concepts into reliability approaches.&nbsp;
Covers methods for modeling and control of complex engineering systems Describes multidisciplinary approaches for reliability and dependability analysis Gives a special emphasis to applications of AI in transportation

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