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Record Nr. |
UNINA9910672437103321 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (542 pages) : illustrations |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 640 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Transportation engineering |
Traffic engineering |
Statistics |
Computational Intelligence |
Transportation Technology and Traffic Engineering |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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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 |
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to the integration of artificial intelligent concepts into reliability approaches. . |
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