Search Results for author: Jürg Schiffmann

Found 2 papers, 1 papers with code

DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

1 code implementation15 May 2023 Cyril Picard, Jürg Schiffmann, Faez Ahmed

Overall, this paper offers valuable insights for researchers intending to create and publish synthetic datasets for engineering design, thereby paving the way for more effective applications of AI advancements in the field.

ARRID: ANN-based Rotordynamics for Robust and Integrated Design

no code implementations25 Aug 2022 Soheyl Massoudi, Jürg Schiffmann

The purpose of this study is to introduce ANN-based software for the fast evaluation of rotordynamics in the context of robust and integrated design.

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