Aug 17, 2023 · We design a novel domain correction latent subspace learning (DCLSL) algorithm for gas sensor drift compensation by integrating subspace learning and domain ...
Aug 17, 2023 · To overcome these issues, we design a novel domain correction latent subspace learning (DCLSL) algorithm for gas sensor drift compensation by ...
First, domain correction is applied to alleviate the distribution difference before and after sensor drift by exploiting the mean distribution discrepancy ...
Jan 10, 2023 · We propose a novel drift compensation framework for gas sensors, which combines cross-domain subspace learning with balanced distribution and cross-domain ...
Zijian Wang's 5 research works with 59 citations, including: Robust Domain Correction Latent Subspace Learning for Gas Sensor Drift Compensation.
Sep 20, 2024 · These results demonstrate the superior performance of the AMDS-PFFA model in gas identification with drift compensation, significantly ...
Jan 10, 2022 · The aim of this method is to learn a robust subspace to increase the consistency between domains and enhance the feature–label dependency of ...
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural ...
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A Multibranch LSTM-Attention Ensemble Classification Network for Sensor Drift Compensation · Robust Domain Correction Latent Subspace Learning for Gas Sensor ...
Robust Domain Correction Latent Subspace Learning for Gas Sensor Drift Compensation ... latent subspace learning (DCLSL) algorithm for gas sensor drift ...
Apr 20, 2023 · We propose a novel end-to-end deep learning model comprising a drift-compensation module and a classification module. Section 3.1 describes the ...