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Title:A solution technique to cascading link failure prediction
Authors:ID Nakhaei, Niknaz, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran (Author)
ID Ebrahimi, Morteza, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran (Author)
ID Hosseini, Ahmad, Centre for Information Technologies and Applied Mathematics, University of Nova Gorica, Slovenia (Author)
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Keywords:Failure prediction, Complex networks, Cascading failure, Bayesian Belief Networks, Operations Research
Publication version:Version of Record
Year of publishing:2022
Number of pages:14
Numbering:258
PID:20.500.12556/RUNG-7933 New window
COBISS.SI-ID:141591555 New window
DOI:https://doi.org/10.1016/j.knosys.2022.109920 New window
NUK URN:URN:SI:UNG:REP:VMAGUVTZ
Publication date in RUNG:14.02.2023
Views:1509
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Record is a part of a journal

Title:Knowledge-Based Systems
Year of publishing:2022

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:13.02.2023

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