A new technical paper titled "Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification" was published by researchers at Korea University.
Abstract
"Semi-supervised learning (SSL) models, which leverage both labeled and unlabeled datasets, have been increasingly applied to classify wafer bin map patterns in semiconductor manufacturing. These models typical...
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