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        SCALE Magazine

        Detecting FEM Geometry Using Machine Learning

        Nick Scheider

        Master Thesis and Presentation on Master Thesis | Dresden University of Technology, 2020

        ML-supported Design Methods for Determining Permissible Input Variables for Crash Simulation using the Example of FEM

        Julian Haluska

        Master Thesis and Presentation on Master's Thesis | Dresden University of Technology, 2020

        ViPrIA | Virtual product development using intelligent assistance systems

        ViPrIA is a BMBF-funded project aimed at developing intelligent assistance systems based on Artificial Intelligence (AI) and Machine Learning (ML) to support engineers in simulation-driven virtual product development.

        ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production

        ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production Information Project name ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production Content The ML@KaroProd project is a BMBF-funded project with the goal of, machine learning for the prediction of process parameters […]

        Social commitment: SCALE donates to the good cause

        In 2019 SCALE made donations to various charitable organizations.

        Application of Machine Learning Techniques through Simulation Data Management (Slides)

        Application of Machine Learning Techniques through Simulation Data Management (Slides) Marko Thiele (SCALE)VDI-Fachkongress Automotive CAE, Baden-Baden, November 2019. PDF herunterladen

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