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Showing 1 - 20 results of 118 for search '(( final tree models optimization algorithm ) OR ( binary task based optimization algorithm ))', query time: 0.64s Refine Results
  1. 1
    Structure of decision tree model.

    Structure of decision tree model. by Daihong Li (14642581)

    Published 2023
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  2. 2
    Several loop patterns found in binary code.

    Several loop patterns found in binary code. by Alba Pedro-Zapater (8600382)

    Published 2020
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  3. 3
    Final values of R<sup>2</sup>-scores for three models.

    Final values of R<sup>2</sup>-scores for three models. by Daihong Li (14642581)

    Published 2023
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  4. 4
    The comparisons of three developed models.

    The comparisons of three developed models. by Daihong Li (14642581)

    Published 2023
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  5. 5
    Residual plot of tuned MLP model.

    Residual plot of tuned MLP model. by Daihong Li (14642581)

    Published 2023
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  6. 6
    Actual Vs. estimated outputs (DT model).

    Actual Vs. estimated outputs (DT model). by Daihong Li (14642581)

    Published 2023
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  7. 7
    Actual Vs. estimated outputs (GRNN model).

    Actual Vs. estimated outputs (GRNN model). by Daihong Li (14642581)

    Published 2023
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  8. 8
    Actual Vs. estimated outputs (MLP model).

    Actual Vs. estimated outputs (MLP model). by Daihong Li (14642581)

    Published 2023
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  9. 9
    Proposed Algorithm.

    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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  10. 10
    Influence of SGC7+ and ρ (g/cc) on the output.

    Influence of SGC7+ and ρ (g/cc) on the output. by Daihong Li (14642581)

    Published 2023
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  11. 11
    The training dataset used in this work [2].

    The training dataset used in this work [2]. by Daihong Li (14642581)

    Published 2023
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  12. 12
    Demonstration of Cook’s distance outlier detection.

    Demonstration of Cook’s distance outlier detection. by Daihong Li (14642581)

    Published 2023
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  13. 13
    Trends of API on multiple temperature levels (� = 0.35, � = 1.62, � = 3.21, �+ = 94.81, MWC7+ = 338.41, SGC7+ = 0.95, ρ (g/cc) at 20°C = 0.941).

    Trends of API on multiple temperature levels (� = 0.35, � = 1.62, � = 3.21, �+ = 94.81, MWC7+ = 338.41, SGC7+ = 0.95, ρ (g/cc) at 20°C = 0.941). by Daihong Li (14642581)

    Published 2023
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  14. 14
    Methodology framework for correlation of crude oil viscosity.

    Methodology framework for correlation of crude oil viscosity. by Daihong Li (14642581)

    Published 2023
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  15. 15
    Effect of temperature and ρ (g/cc) on the output.

    Effect of temperature and ρ (g/cc) on the output. by Daihong Li (14642581)

    Published 2023
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  16. 16
    Trends of density on multiple temperature levels (API = 18.6, � = 0.35, � = 1.62, � = 3.21, �+ = 94.81, SGC7+ = 0.95.

    Trends of density on multiple temperature levels (API = 18.6, � = 0.35, � = 1.62, � = 3.21, �+ = 94.81, SGC7+ = 0.95. by Daihong Li (14642581)

    Published 2023
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  17. 17
    The whole test dataset [2].

    The whole test dataset [2]. by Daihong Li (14642581)

    Published 2023
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  18. 18
    Trends of MWC7+on multiple temperature levels (API = 18.6, � = 0.35, � = 1.62, � = 3.21, �+ = 94.81, SGC7+ = 0.95, ρ (g/cc) at 20°C = 0.941).

    Trends of MWC7+on multiple temperature levels (API = 18.6, � = 0.35, � = 1.62, � = 3.21, �+ = 94.81, SGC7+ = 0.95, ρ (g/cc) at 20°C = 0.941). by Daihong Li (14642581)

    Published 2023
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  19. 19
    Effect of API and ρ (g/cc) on the output.

    Effect of API and ρ (g/cc) on the output. by Daihong Li (14642581)

    Published 2023
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  20. 20
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

    Published 2025
    “…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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