Purpose: The purpose of this study is to attempt to improve the steel industry by suggesting ways to improve the quality of steel products.
Methods: An attempt was made to improve the detection of defect data on the surface of steel plates through data augmentation techniques a...
Purpose: This study aims to propose an unsupervised topic modeling algorithm utilizing contrastive learning to overcome the limitations of existing methods.
Methods: The proposed algorithm incorporates contrastive learning into topic modeling and employs an end-to-end learning ...
Purpose: This study aims to propose a novel method for constructing a warranty cost analysis model using copula functions. It explores the properties of selected copula models and applies them to fit two-dimensional warranty data, thereby enhancing the modeling of dependent fail...
