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GENERAL QUALITY RESEARCH
Deep Learning Based Steel Plate Surface Defect Detection with Precise RoI Pooling
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...
GENERAL QUALITY RESEARCH
Unsupervised Topic Modeling Using Contrastive Learning
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 ...
GENERAL QUALITY RESEARCH
Warranty Cost Analysis for a Two-dimensional System Using Copular Function
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...
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53(3); September 30, 2025
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