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Software . 2023
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Software . 2023
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Software . 2023
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PDPK: v1.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 Dec 2022Publisher:Zenodo
Authors: Nordsieck, Richard;
Code repository: https://github.com/0x14d/PDPK/tree/v1.0.0

doi: 10.5281/zenodo.7455849 , 10.5281/zenodo.7455848 , 10.5281/zenodo.7919581

PDPK: v1.0.0

Abstract

A framework to create synthetic datasets containing both process data as well as correspronding procedural knowledge for parametrisation processes of the manufacturing domain. Refer to README.md for details regarding configuration.

If you use this software, please cite it as below.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
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30