Reliability and Statistics in Transportation and Communication
Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia
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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 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.
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.
Covers methods for modeling and control of complex engineering systems Describes multidisciplinary approaches for reliability and dependability analysis Covers a broad spectrum of applications of intelligent and statistical methods
Autor*in
Igor Kabashkin
Themen in »Reliability and Statistics in Transportation and Communication«
Multimodal Transportation Planning Monitoring of Transport Vehicles Inventory Management Systems Natural language processing applications Collision avoidance systems Intelligent Monitoring Systems Engine Performance Analysis Machine learning for network security AI applications in Management Intermodal Transportation Networks Applications of Knowledge-based Systems Education Management Systems Predictive maintenance methods Digitalization in Business Processes Vehicle Active Safety