Reliability and Statistics in Transportation and Communication
| Autor: | Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis |
|---|---|
| EAN: | 9783030684761 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 06.02.2021 |
| Untertitel: | Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia |
| Kategorie: | |
| Schlagworte: | Urban Traffic Modelling;Monitoring of Transport Vehicles;Digital learning systems;IS for Aircraft Maintenance and Operation;Unmanned vehicle movements;Markov-modulated linear regression;Natural language processing applications;Collision avoidance sys |
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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 noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 - 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.
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