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S
Santi Bardeeniz
H指数:9
被引数:219
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Energy efficiency modeling considered chemical process anomalies using contrastive learning-guided generative adversarial imputation network for operation-aligned data reconstruction
能源效率建模考虑了化学过程中的异常，采用了对比学习引导的生成对抗补全网络，用于操作对齐的数据重构。
Energy structure analysis of the process heating system in crude glycerin refinery using a physics-guided dual-region echo state network for multirate steam modeling
采用物理引导的双区域回声状态网络对粗甘油精炼厂工艺加热系统的能量结构进行多速率蒸汽建模分析
Real-time particle size prediction in ammonium sulfate crystallization using router-guided deep learning with operating-subspace segmentation
采用基于操作子空间分割的路由引导深度学习进行硫酸铵结晶过程中的实时粒径预测
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