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Shift and flip invariant CNNs for predicting laminar flow properties.

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Title: Shift and flip invariant CNNs for predicting laminar flow properties.
Authors: Koide, Yuri1,2 (AUTHOR), Teufel, Jonas1,2 (AUTHOR), Torresi, Luca1,2 (AUTHOR), Kaithakkal, Arjun J.3 (AUTHOR), Stroh, Alexander3 (AUTHOR), Friederich, Pascal1,2 (AUTHOR) pascal.friederich@kit.edu
Source: APL Machine Learning. Mar2026, Vol. 4 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Shift and flip invariant CNNs for predicting laminar flow properties.
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  Data: <searchLink fieldCode="JN" term="%22APL+Machine+Learning%22">APL Machine Learning</searchLink>. Mar2026, Vol. 4 Issue 1, p1-12. 12p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1063/5.0317297
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        Text: English
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        PageCount: 12
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      – TitleFull: Shift and flip invariant CNNs for predicting laminar flow properties.
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            NameFull: Koide, Yuri
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            NameFull: Teufel, Jonas
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            NameFull: Torresi, Luca
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            NameFull: Kaithakkal, Arjun J.
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            NameFull: Stroh, Alexander
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              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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