Simone Gramsch

Orcid: 0000-0002-6720-9840

According to our database1, Simone Gramsch authored at least 8 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2025
Machine Learning-Augmented Boundary Value Problem Solvers for Optimizing Melt Spinning Processes.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

2024
Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems.
CoRR, 2024

Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation.
CoRR, 2024

Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations.
CoRR, 2024

Informed Machine Learning for Optimizing Melt Spinning Processes.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2022
Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens.
IEEE Computer Graphics and Applications, 2022

2019
Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks.
CoRR, 2019

2017
Ensight4Matlab: read, process, and write files in EnSight® Gold format from C++ or MATLAB®.
J. Open Source Softw., 2017


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