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Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.2962
Abstract: Spectroscopic data are usually perturbed by noise from various sources that should be removed prior to model calibration. After conducting a preprocessing step to eliminate unwanted multiplicative effects (effects that scale the pure signal in…
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Keywords:
framework;
regularization framework;
model;
regularization ... See more keywords
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Published in 2025 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2024.3415117
Abstract: In real industrial scenarios, fault data are characterized by class imbalance, a major challenge for data-driven intelligent fault diagnosis. This article proposes a novel three-level regularization framework that integrates data, models, and labels to diagnose…
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Keywords:
regularization framework;
framework;
intelligent fault;
model ... See more keywords