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Reliability and Statistics in Transportation and Communication

Selected Papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia

Irina Yatskiv (Hrsg.), Igor Kabashkin (Hrsg.), Olegas Prentkovskis (Hrsg.)

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ca. 213,99 €
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung


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 in Riga, Latvia on October 16 – 19, 2019. 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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Schlagwörter

Bus electrification, Airplane health management, Markov-modulated processes, Maintenance information system, Document clustering, Relstat-2019, Bike-sharing systems, Modernization of Transport Infrastructure, Data-Driven Fault Diagnosis, Goods-to-person method, Image-like traffic representation, Cargo weight distribution models, Vehicle ego-localization, Order picking systems, Digital twin of aircraft systems, Inventory management, Assessment of mobile learning, Risk management in Sea ports, Urban traffic modelling, Life cycle models