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Detection of Monocrystalline Silicon Wafer Defects Using Deep Transfer Learning
Published 2022“…The monocrystalline silicon wafer defect classification technique relying on the DTL-MobileNetV2 model achieved the accuracy rate of 98.99% when evaluated against the testing set. …”
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