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supervised machine learning

topic1 events
papersTODAY 04:00 UTC

Study compares rotation representations for predicting SLM dental part build orientation

A new arXiv paper frames the choice of build orientation for selective laser melting of dental components as a supervised machine learning problem. Using orientation labels recorded by technicians in production data, the authors train models to predict a part's up-axis and compare several rotation representations against direct vector regression. The work targets automating a step that is currently performed manually.

additive-manufacturing/machine-learning/manufacturing/research