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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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Reliability and Statistics in Transportation and Communication/ edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis.
其他題名:	Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia /
其他作者:	Kabashkin, Igor.
面頁冊數:	XIII, 620 p. 186 illus., 144 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-96196-1
ISBN:	9783030961961

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 /
Reliability and Statistics in Transportation and CommunicationSelected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia /[electronic resource] :edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis. - 1st ed. 2022. - XIII, 620 p. 186 illus., 144 illus. in color.online resource. - Lecture Notes in Networks and Systems,4102367-3389 ;. - Lecture Notes in Networks and Systems,1.

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. .

ISBN: 9783030961961

Standard No.: 10.1007/978-3-030-96196-1doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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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