NAFEMS Towards Principles and Metrics for Curating Large Structural Simulation Data sets for Machine Learning

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Towards Principles and Metrics for Curating Large Structural Simulation Data sets for Machine Learning

This presentation has been held at the Data-Driven Engineering: AI/ML Trends and Insights for Engineering online seminar, on the 14th of February, 2024.

Document Details

Reference	eds-virtual-24-01-p
Author	Shah. J Jami
Language	English
Audience	Analyst
Type	Presentation
Date	14th February 2024
Organisation	Ohio State University
Region	Global

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Towards Principles and Metrics for Curating Large Structural Simulation Data sets for Machine Learning

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