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    Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

    Published 2025
    “…Both models show a decrease in MAE as the kernel size increases up to approximately 200 pixels. …”
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    The MAE value of the model under raw data. by Xiangjuan Liu (618000)

    Published 2025
    “…Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”
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    Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

    Published 2024
    “…</p><p>Results</p><p>The IRD decreased after both exercise programs compared to baseline measurements in AB2 (mean difference: 3.06 mm, 95% CI: 1.06 to 5.05) and in AB5 (mean difference: 2.88 mm, 95% CI: 1.59 to 4.17), confirming the long-term effect of exercise. …”
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