CNNs Combined With a Conditional GAN for Mura Defect Classification in TFT-LCDs
Mura defect classification is a critical concern for thin-film transistor liquid crystal display (TFT-LCD) manufacturers. In recent years, artificial intelligence technologies have been successfull…
TFT-LCD Contrast Ratio Improvement by Using Design for Six Sigma Disciplines
The current market demands for thin-film transistor (TFT) liquid crystal display (LCD) is high; however, the LCD televisions still have contrast ratio-related issues. To resolve this, researchers c…
Combination of Convolutional and Generative Adversarial Networks for Defect I…
In thin-film transistor liquid crystal display (TFT-LCD) manufacturing, the automatic recognition and classification of defects can help manufacturers monitor abnormalities, identify potential proc…
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