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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Supervised Attention-Based Bidirectional Long Short-Term Memory Network for Nonlinear Dynamic Soft Sensor

Zeyu Yang1, Ruining Jia1, Peiliang Wang1

  • 1Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, China.

ACS Omega
|February 6, 2023
PubMed
Summary
This summary is machine-generated.

A new supervised attention-based bidirectional long short-term memory (SA-BiLSTM) model effectively handles complex nonlinear industrial processes. This advanced soft sensor approach improves prediction accuracy by capturing dynamic features and essential information.

Failed At:

2026-06-19T13:39:58.681738+00:00

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