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conference poster
Exploring supervised machine learning algorithms for predicting pitting corrosion damage of AA1050 exposed to ethanol-containing fuels.
No abstract available.
URL:
https://publications.hereon.de/id/51702/
Authors:
Jarren, L., Gazenbiller, E., Arya, V., Reitz, R., Oechsner, M., Feiler, C., Zheludkevich, M., Höche, D.
Year:
2023
In:
Digital Total
Location:
Hamburg (DEU)
Type:
conference poster
Cite as:
Jarren, L.; Gazenbiller, E.; Arya, V.; Reitz, R.; Oechsner, M.; Feiler, C.; Zheludkevich, M.; Höche, D.: Exploring supervised machine learning algorithms for predicting pitting corrosion damage of AA1050 exposed to ethanol-containing fuels.. In: Digital Total. Hamburg (DEU). 2023.
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