Reliability and Statistics in Transportation and Communication
Produktnummer:
18bdcd42516c7b47beb906215ba521cc5d
| Themengebiete: | AI applications in Management Collision avoidance systems Engine Performance Analysis Intelligent Monitoring Systems Intermodal Transportation Networks Inventory Management Systems Machine learning for network security Monitoring of Transport Vehicles Multimodal Transportation Planning Natural language processing applications |
|---|---|
| Veröffentlichungsdatum: | 23.02.2022 |
| EAN: | 9783030961954 |
| Sprache: | Englisch |
| Seitenzahl: | 620 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Kabashkin, Igor Prentkovskis, Olegas Yatskiv, Irina |
| Verlag: | Springer International Publishing |
| Untertitel: | Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, 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 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 15, 2021. 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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