Machine Learning Based Evaluation of Surface Roughness of Additvely-Manufactured Nylon 12 Surgical Guides
May, G.
dc.title: Machine Learning Based Evaluation of Surface Roughness of Additvely-Manufactured Nylon 12 Surgical Guides
dc.description.abstract: This study investigates the influence of fused deposition modeling (FDM) printing
parameters and post-processing on the surface roughness of Nylon 12 specimens across two distinct collection sites. A machine learning methodology, incorporating Random Forest Regression alongside analytical tools such as correlation matrices, feature importance metrics, mutua