A physics-informed mixture-of-experts model with transfer learning achieves R2 of 0.661-0.842 for pollutant prediction and 3.6-6.3% risk-index reductions after adaptation across 13 MSWI plants.
In: 2024 6th International Conference on Industrial Artificial Intelligence (IAI), pp
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Advancing multi-site emission control: A physics-informed transfer learning framework with mixture of experts for carbon-pollutant synergy
A physics-informed mixture-of-experts model with transfer learning achieves R2 of 0.661-0.842 for pollutant prediction and 3.6-6.3% risk-index reductions after adaptation across 13 MSWI plants.