Conference Papers Year : 2022

Assessing the robustness of an EBSD-data-based U-Net model to classify phase transformation products in Steels

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hal-03788345 , version 1 (26-09-2022)

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  • HAL Id : hal-03788345 , version 1

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S. Breumier, Tomas Martinez Ostormujof, Nathalie Gey, Bianca Frincu, A. Couturier, et al.. Assessing the robustness of an EBSD-data-based U-Net model to classify phase transformation products in Steels. 1st World Congress on Artificial Intelligence in Materials and Manufacturing, Apr 2022, Pittsburgh, United States. ⟨hal-03788345⟩
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