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Generating Tire Tread Designs Using a Sensory Evaluation Regression Model of General Users and Tire Manufacturer Employees and a Generative Model
In this study, a CatBoost regression model was constructed to clarify the relationship between geometric features extracted from tire tread images and sensory evaluations of “quietness” and “grip performance” on DRY and WET surfaces. SHapley Additive exPlanations (SHAP) was then applied to visualize
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