Showing 101 - 120 results of 18,076 for search '(( significantly ((a decrease) OR (nn decrease)) ) OR ( significantly predicted decrease ))', query time: 0.57s Refine Results
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    SARIMA predicts season components. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”
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    Significantly Enriched Pathways. by Jiyong Zhang (2498740)

    Published 2025
    “…Pathway analysis revealed a marked decrease in expression within certain key metabolic pathways (such as the one-carbon pool by folate) in the NAFLD group, while expression in DNA repair-related pathways (such as non-homologous end joining) was significantly increased. …”
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    Analysis of raw data prediction results. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”
  9. 109

    Analysis of STL-PCA prediction results. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”
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    ROC Results Predicted in the Sample. by Fangyi Yang (18867853)

    Published 2025
    “…Findings reveal that extended forced parking durations, longer travel times, and increased instances of forced stops are associated with decreased hazard rates, suggesting a higher tolerance for prolonged waiting. …”
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    Prediction effect of each model after STL. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”
  20. 120

    BWO-BiLSTM model prediction results. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”