From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning
This paper proposes a methodology for leveraging convolutional neural networks (CNNs) in conjunction with advanced data preprocessing to facilitate optimal quality control decision-making in high pressure casting (HPDC) processes. The approach assists in predicting key values of the dependent variab...
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Main Author: | |
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Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2025-06-01
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Series: | Archives of Foundry Engineering |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/135634/AFE%202_2025_16-Final.pdf |
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