Figure of ablation experiment. حسب Xiangjuan Liu (618000)

"…<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. …"

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

"…<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. …"

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

"…<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. …"

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

"…<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. …"

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

"…<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. …"

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

"…<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. …"

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

"…<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. …"

Autophagy significantly increases RGCs loss. حسب Hongmei Qian (538647)

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Autophagy significantly increases RGCs loss. حسب Hongmei Qian (538647)

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Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. حسب Farrokh Habibzadeh (12256529)

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Impact on different areas of health. حسب Margherita Molaro (17803989)

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Summary of significance levels for comparison of surgical segment ROM between different test groups. حسب Jia Zhu (135506)

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Descriptive statistics of alcohol consumption in G7 countries (in litres/capita). حسب Luis Alberiko Gil-Alana (14659817)

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Data for the G7 countries in 2022. حسب Luis Alberiko Gil-Alana (14659817)

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Estimates of the differencing parameter, d, in Eq (1). حسب Luis Alberiko Gil-Alana (14659817)

الموضوعات:

Estimates of the differencing parameter, d, in Eq (1). حسب Luis Alberiko Gil-Alana (14659817)

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Time series plots: Alcohol consumption. حسب Luis Alberiko Gil-Alana (14659817)

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Estimated coefficients based on the selected model in Table 4. حسب Luis Alberiko Gil-Alana (14659817)

الموضوعات:

Estimated coefficients based on the selected model in Table 3. حسب Luis Alberiko Gil-Alana (14659817)

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The variables that significantly predicted litter clump weight in shelter cats. حسب Allison Andrukonis (11846404)