Flowchart of the STL-PCA-BWO-BiLSTM model. by 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. by 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. by 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. by 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. by 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. by 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. …”

Odds ratio of multivariable analysis of factors for Shiga toxin-producing <i>Escherichia coli</i> (<i>stx</i> only). by Amete Mihret Teshale (12072758)

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Testis tissue apoptosis post PM2.5 exposure. by Cao Wang (1500691)

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

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Effects of s-ketamine and midazolam on respiratory parameters. by Oscar F. C. van den Bosch (22184246)

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Flow chart of the study participants. by Oscar F. C. van den Bosch (22184246)

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Procedure of the Loughborough Intermittent Shuttle Test. by Dominic Michael Rasp (19959412)

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S1 Raw data - by Dominic Michael Rasp (19959412)

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Development of the limb symmetry index (LSI) over the course of the LIST. by Dominic Michael Rasp (19959412)

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Development of hamstring strength throughout the LIST. by Dominic Michael Rasp (19959412)

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Summary of HSS and LSI during the LIST. by Dominic Michael Rasp (19959412)

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S2 Raw data - by Dominic Michael Rasp (19959412)

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Set-up of the optimized 90:20 Isometric Posterior Chain Test. by Dominic Michael Rasp (19959412)

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Spatiotemporal changes in factors influencing the health level of older adults in the Yangtze River Economic Belt, 2010–2020. by Mengmeng Yang (475288)

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The table shows the significant and non-significant altered group with different parameters. by Ashraf Attia Mahmoud (21262201)

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