An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification.

Silicon wafer defect classification is crucial for improving fabrication and chip production. Although deep learning methods have been successful in single-defect wafer classification, the increasing complexity of the fabrication process has introduced the challenge of multiple defects on wafers, wh...

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Bibliographic Details
Main Authors: Batool, Uzma, Shapiai, Mohd. Ibrahim, Mostafa, Salama A., Ibrahim, Mohd. Zamri
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Online Access:http://eprints.utm.my/104909/1/MohdIbrahimShapiai2023_AnAttentionAugmentedConvolutionalNeuralNetwork.pdf
http://eprints.utm.my/104909/
http://dx.doi.org/10.1109/ACCESS.2023.3321025
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Institution: Universiti Teknologi Malaysia
Language: English

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