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Showing 41 - 60 results of 311 for search '(( binary data code optimization algorithm ) OR ( primary data models optimization algorithm ))', query time: 0.59s Refine Results
  1. 41
    Data_Sheet_1_Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning.docx

    Data_Sheet_1_Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning.docx by Pan Ma (400070)

    Published 2022
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  2. 42
    Weights of sample data.

    Weights of sample data. by Yixuan Lu (9987980)

    Published 2023
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  3. 43
    Data_Sheet_1_Determination of phage load and administration time in simulated occurrences of antibacterial treatments.docx

    Data_Sheet_1_Determination of phage load and administration time in simulated occurrences of antibacterial treatments.docx by Steffen Plunder (14022498)

    Published 2022
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  4. 44
    Algorithms and evaluation metrics integrated in the COPS framework.

    Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

    Published 2024
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  5. 45
    Sample data of K-means clustering.

    Sample data of K-means clustering. by Yixuan Lu (9987980)

    Published 2023
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  6. 46
    Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf

    Data Sheet 1_TBESO-BP: an improved regression model for predicting subclinical mastitis.pdf by Kexin Han (10933209)

    Published 2025
    “…The model is based on TBESO (Multi-strategy Boosted Snake Optimizer) and utilizes monthly Dairy Herd Improvement (DHI) data to forecast the status of subclinical mastitis in cows.…”
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  7. 47
    Data_Sheet_1_Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.PDF

    Data_Sheet_1_Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence.PDF by Vito Janko (14605643)

    Published 2023
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  8. 48
    Construction process of RF.

    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …”
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  9. 49
    Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF

    Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF by Xiaoying Lou (9700261)

    Published 2024
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  10. 50
    Image_2_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF

    Image_2_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF by Xiaoying Lou (9700261)

    Published 2024
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  11. 51
    Data_Sheet_1_A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions.PDF

    Data_Sheet_1_A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions.PDF by Leon Lufkin (11276856)

    Published 2021
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  12. 52
    Dendrogram of the stock prices.

    Dendrogram of the stock prices. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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  13. 53
    Descriptive statistics on stock prices.

    Descriptive statistics on stock prices. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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  14. 54
    Correlation heatmap of the principal components.

    Correlation heatmap of the principal components. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …”
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  15. 55
    Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx

    Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx by Liyin Zhang (6371999)

    Published 2023
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  16. 56
    Data used in this study.

    Data used in this study. by Qinghua Li (398885)

    Published 2024
    “…In the hybrid model of this paper, the choice was made to use the Densenet architecture of CNN models with LightGBM as the primary model. …”
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  17. 57
    Accuracy comparison of proposed and other models.

    Accuracy comparison of proposed and other models. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”
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  18. 58
    Data_Sheet_1_Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation.DOCX

    Data_Sheet_1_Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Pat... by Mingxue Yu (10273496)

    Published 2021
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  19. 59
    Data_Sheet_2_Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Patients With Severe Acute Exacerbation.docx

    Data_Sheet_2_Development and Validation of a Novel Risk Prediction Model Using Recursive Feature Elimination Algorithm for Acute-on-Chronic Liver Failure in Chronic Hepatitis B Pat... by Mingxue Yu (10273496)

    Published 2021
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  20. 60
    Comparative Results of Different Models.

    Comparative Results of Different Models. by Hongwei Yue (574068)

    Published 2025
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