DS-MKNet: A Dual-Stream Mamba-KAN Network for Sintering Burn-Through Point Prediction via Physics-Driven Dynamic Fusion
Precise control of the sintering Burn-Through Point (BTP) is crucial for ensuring stable sinter quality and reducing energy consumption. However, BTP prediction faces two major challenges: temporal misalignment caused by long process delays and strong nonlinear relationships arising from complex the...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11500604/ |
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