Hybrid sequence learning with interpretability for multi-class quality prediction in injection molding
Ensuring consistent quality in injection molding remains a critical challenge due to dynamic process variations and the limitations of traditional rule-based inspection methods. This study proposes a novel hybrid deep learning framework that integrates a Transformer encoder with a TabNet classifier...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025024788 |
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