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Reliability and statistics in transportation and communicationselected papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication : Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliability and statistics in transportation and communicationedited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis.
其他題名:	selected papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication : Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia /
其他題名:	RelStat 2022
其他作者:	Kabashkin, Igor.
團體作者:
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xiii, 540 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	TransportationCase studies.
電子資源:	https://doi.org/10.1007/978-3-031-26655-3
ISBN:	9783031266553$q(electronic bk.)

Reliability and statistics in transportation and communicationselected papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication : Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia /
Reliability and statistics in transportation and communicationselected papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication : Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia /[electronic resource] :RelStat 2022edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis. - Cham :Springer International Publishing :2023. - xiii, 540 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 6402367-3389 ;. - Lecture notes in networks and systems ;v.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 relevant findings discussed at the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 - 21, 2022, in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches.

ISBN: 9783031266553$q(electronic bk.)

Standard No.: 10.1007/978-3-031-26655-3doiSubjects--Topical Terms:

447203
Transportation
--Case studies.

LC Class. No.: HE11 / .I58 2022

Dewey Class. No.: 388

Reliability and statistics in transportation and communicationselected papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication : Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia /
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