東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Reliability and statistics in transp...

International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (2022 :)

Linked to FindBook

Google Book

Amazon

博客來

Reliability and statistics in transportation and communication = 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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliability and statistics in transportation and communication/ edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis.
Reminder of title:	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 /
remainder title:	RelStat 2022
other author:	Kabashkin, Igor.
corporate name:	International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xiii, 540 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Transportation - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-26655-3
ISBN:	9783031266553

Reliability and statistics in transportation and communication = 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 /
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. 640..

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

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

698673
Transportation
--Congresses.

LC Class. No.: HE11 / .I58 2022

Dewey Class. No.: 388

Reliability and statistics in transportation and communication = 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 /
LDR:02055nmm a2200337 a 4500 001 2316126
003 DE-He213
005 20230222231434.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031266553 $q (electronic bk.)
020 $a 9783031266546 $q (paper)
024 7 $a 10.1007/978-3-031-26655-3 $2 doi
035 $a 978-3-031-26655-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HE11 $b .I58 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 388 $2 23
090 $a HE11 $b .I61 2022
111 2 $a International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication $n (22nd : $d 2022 : $c Riga, Latvia ; Online) $3 3629111
245 1 0 $a Reliability and statistics in transportation and communication $h [electronic resource] : $b 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 / $c edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis.
246 3 $a RelStat 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 540 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in networks and systems, $x 2367-3389 ; $v v. 640
520 $a 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.
650 0 $a Transportation $x Congresses. $3 698673
650 0 $a Communication and traffic $v Congresses. $3 3300945
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Transportation Technology and Traffic Engineering. $3 2153276
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 3591853
700 1 $a Kabashkin, Igor. $3 3300941
700 1 $a Yatskiv, Irina. $3 3300942
700 1 $a Prentkovskis, Olegas. $3 3300943
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in networks and systems ; $v v. 640. $3 3629112
856 4 0 $u https://doi.org/10.1007/978-3-031-26655-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)