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models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
primary causes » primary cause (Expand Search), primary care (Expand Search)
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Showing 1 - 20 results of 55 for search '(( primary causes models optimization algorithm ) OR ( binary atp driven optimization algorithm ))', query time: 0.65s Refine Results
  1. 1
    Calibration plot of the apparent and optimism-corrected models.

    Calibration plot of the apparent and optimism-corrected models. by Dominika Szabo (14129304)

    Published 2022
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  2. 2
    Total primary energy demand by fuel in China.

    Total primary energy demand by fuel in China. by Da Lian (18880882)

    Published 2024
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  3. 3
    VIF analysis results for hazard-causing factors.

    VIF analysis results for hazard-causing factors. by Hao Yang (328526)

    Published 2025
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  4. 4
    Flowchart of the proposed AT-AQ model.

    Flowchart of the proposed AT-AQ model. by Ayyappan Subramaniam (16679704)

    Published 2023
    “…Furthermore, the PHEV RES and charging station location problem is handled in this study by deploying a novel hybrid algorithm termed as Atom Search Woven Aquila Optimization Algorithm (AT-AQ) that includes the ideas of both Aquila Optimizer (AO) and Atom Search Optimization (ASO) Algorithms. …”
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  5. 5
    Single diode PV model.

    Single diode PV model. by Maheshwari Adaikkappan (20485792)

    Published 2024
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  6. 6
    Multivariable Cox proportional hazard model<sup>b'*'</sup> for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System between April 5, 2022, and August 1, 2022.

    Multivariable Cox proportional hazard model<sup>b'*'</sup> for the composite outcome among the post-propensity matched COVID-19 infected patients in the Banner Healthcare System be... by Srilekha Sridhara (15374444)

    Published 2023
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  7. 7
    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx

    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)

    Published 2023
    “…The optimization model is solved by the multi-objective salp swarm algorithm (MSSA) to obtain the setting value of wind-storage combined frequency regulation parameters and the optimal energy storage capacity. …”
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  8. 8
    Iteration curve of the optimization process.

    Iteration curve of the optimization process. by Meijun Shang (22806461)

    Published 2025
    “…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. A particle swarm optimization (PSO) algorithm was integrated with the FEA model to optimize the cross-sectional dimensions of the primary beams, secondary beams, and foundation boxes, achieving a balance between load-bearing capacity and cost efficiency. …”
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  9. 9
    Presentation_1_Safety-oriented planning of expressway truck service areas based on driver demand.pdf

    Presentation_1_Safety-oriented planning of expressway truck service areas based on driver demand.pdf by Wenlong Ding (492768)

    Published 2022
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  10. 10
    Presentation_2_Safety-oriented planning of expressway truck service areas based on driver demand.pdf

    Presentation_2_Safety-oriented planning of expressway truck service areas based on driver demand.pdf by Wenlong Ding (492768)

    Published 2022
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  11. 11
    Table_8_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_8_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  12. 12
    Table_5_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_5_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  13. 13
    Table_1_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_1_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  14. 14
    Table_9_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_9_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  15. 15
    Table_7_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_7_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  16. 16
    Table_4_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_4_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  17. 17
    Table_2_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_2_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  18. 18
    Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  19. 19
    Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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  20. 20
    Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx

    Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx by Mingjuan Zhou (12880019)

    Published 2022
    “…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …”
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