The superior data quality metrics achieved by WGAN-GP—particularly its ability to generate diverse, physically plausible samples that appropriately expand the feature space while preserving core relationships—directly translate to measurable improvements in predictive accuracy that are practically significant for pipeline risk assessment.
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A WGAN-GP and stacking ensemble-based framework for enhanced prediction of wax deposition rate in crude oil pipelines.
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