يعرض 261 - 280 نتائج من 2,261 نتيجة بحث عن '(( significant decrease decrease ) OR ( significantly predicted decrease ))~', وقت الاستعلام: 0.32s تنقيح النتائج
  1. 261

    Flowchart of the STL-PCA-BWO-BiLSTM model. حسب Xiangjuan Liu (618000)

    منشور في 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. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
  2. 262

    Parameter optimization results of BiLSTM. حسب Xiangjuan Liu (618000)

    منشور في 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. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
  3. 263

    Descriptive statistical analysis of data. حسب Xiangjuan Liu (618000)

    منشور في 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. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
  4. 264

    The MAE value of the model under raw data. حسب Xiangjuan Liu (618000)

    منشور في 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. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
  5. 265

    Three error values under raw data. حسب Xiangjuan Liu (618000)

    منشور في 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. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
  6. 266

    Decomposition of time scries plot. حسب Xiangjuan Liu (618000)

    منشور في 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. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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    Assessing Bivalves as Biomonitors of Per- and Polyfluoroalkyl Substances in Coastal Environments حسب Shannon E. Jones (17558652)

    منشور في 2025
    "…Despite the ecological and economic significance of coastal environments, monitoring efforts to identify PFAS in these regions are limited. …"
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  16. 276

    Multiple linear regression analysis results. حسب Muxi Chen (9294270)

    منشور في 2025
    الموضوعات:
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