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Author

Kai Sun

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Open access Aug 2026

An Online Updating Robust Soft Sensor for Nonstationary Industrial Processes Based on Bidirectional Long Short-Term Memory and Integrated Gradients

This study proposes an online-updating robust soft sensor framework based on bidirectional long short-term memory (BiLSTM) with integrated gradients (IG) and smoothed quantile loss (SQLoss) that is consistent with field experience, offering valuable insights for optimizing the desulfurization control system.

Xiuliang Wu, Changchun Pan, Maoyong Cao et al. · 0 citations

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