SCALE presents its activities on Artificial Intelligence and Machine Learning.
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SCALE Magazine
Since October 2019, SCALE has been developing intelligent assistance systems with SIDACT and Fraunhofer SCAI.
Recognition of FEM geometries with machine learning methods (presentation for Master Thesis) Nick Scheider, TU Dresden, 2020. PDF herunterladen
ML-supported Design Methods for Determining Permissible Input Variables for Crash Simulation using the Example of FEM (Präsentation zur Master Thesis) Julian Haluska, …
Erkennung von FEM-Geometrien mit Methoden des Maschinellen Lernens (Präsentation zur Master Thesis) Nick ScheiderTU Dresden, 2020. PDF herunterladen
ViPrIA | Virtual product development using intelligent assistance systems Information Project name ViPrIA: Virtual product development using intelligent assistance systems Project logo …
ML-supported Design Methods for Determining Permissible Input Variables for Crash Simulation using the Example of FEM (Master Thesis) Julian Haluska,TU Dresden, 2020. …
ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production Information Project name ML@KaroProd | Machine …
In 2019 SCALE made donations to various charitable organizations.
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- Simulation Data Management
- Simulation Data Management
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