Reliability and Statistics in Transportation and Communication
Produktnummer:
18f54997662b4745e98d1b51f99064f533
| Themengebiete: | AI for automation in logistics Collision avoidance systems Digital learning systems IS for Aircraft Maintenance and Operation Markov-modulated linear regression Monitoring of Transport Vehicles Natural language processing applications Object segmentation sensor system Unmanned vehicle movements Urban Traffic Modelling |
|---|---|
| Veröffentlichungsdatum: | 07.02.2021 |
| EAN: | 9783030684754 |
| Sprache: | Englisch |
| Seitenzahl: | 879 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Kabashkin, Igor Prentkovskis, Olegas Yatskiv, Irina |
| Verlag: | Springer International Publishing |
| Untertitel: | Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia |
Produktinformationen "Reliability and Statistics in Transportation and Communication"
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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