Fig. 14 | Scientific Reports

Fig. 14

From: Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models

Fig. 14

Statistical analysis of simulated Removal (%) values. The first subplot illustrates the distribution of predicted Removal values using Monte Carlo simulation (n = 1000) with a kernel density estimation. The second subplot presents the calculated mean and standard deviation of the simulated data. The third subplot shows a boxplot with a risk threshold line at the 95th percentile, representing the upper bound of expected Removal efficiency. This analysis was based on outputs from a trained machine learning model under experimentally optimized conditions.

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