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ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2022
License: CC BY
Data sources: ZENODO
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Claim

Software and Simulation data of the paper entitled "Failure Identification using Model-Implemented Fault Injection with Domain Knowledge-Guided Reinforcement Learning"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Mar 2022 English Publisher:Zenodo
Authors: Mehrdad Moradi; Bert Van Acker; Joachim Denil;

doi: 10.5281/zenodo.6344219 , 10.5281/zenodo.6344220

Software and Simulation data of the paper entitled "Failure Identification using Model-Implemented Fault Injection with Domain Knowledge-Guided Reinforcement Learning"

Abstract

The code in the attachment contains multiple functions and you need to uncomment the part that you want to run. Then, the result will be saved in a CSV file and structured folders. This code corresponds to an article with the same name.

Related Organizations
Keywords

fault injection, reinforcement learning, domain knowledge, fault identification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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