ABHIJEET SURYAWANSHI1, NIRANJANA BEHERA2,*
Journal of Polymer Materials, Vol.40, No.3-4, pp. 305-316, 2023, DOI:10.32381/JPM.2023.40.3-4.11
Abstract Resin composites are commonly applied as the material for dental restoration. Wear of these
materials is a major issue. In this study specimens made of dental composite materials were
subjected to an in-vitro test in a pin-on-disc tribometer. Four different dental composite materials
applied in the experiment were soaked in a solution of chewing tobacco for certain days before
being removed and put through a wear test. Subsequently, four different machine learning (ML)
algorithms (AdaBoost, CatBoost, Gradient Boosting, Random Forest) were implemented for
developing models for the prediction of wear of dental materials. AdaBoost, CatBoost, More >
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