Showing 41 - 60 results of 81 for search '(( binary ips driven optimization algorithm ) OR ( final sampling design optimization algorithm ))', query time: 0.43s Refine Results
  1. 41

    Results of ablation experiments. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  2. 42

    Image of the ReLU function. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  3. 43

    Plot of baseline model output results. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  4. 44

    Comparative test results. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  5. 45

    Recall results. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  6. 46

    mAP@0.5:0.95 results. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  7. 47

    Precision results. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  8. 48

    SimConv structure. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  9. 49

    Table of training hyperparameters. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  10. 50

    Diagram of the original model confusion matrix. by Mengqi Yuan (4852555)

    Published 2025
    “…Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. …”
  11. 51

    Orthogonal experiment scheme and results. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  12. 52

    Comparison of precision of various proxy models. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  13. 53

    Comparison between actual and predicted values. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  14. 54

    Three-dimensional heat transfer model parameters. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  15. 55

    2C discharge rate grid independence test. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  16. 56

    Related parameters of square LIBs. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  17. 57

    Battery pack model. by Xueyong Pan (20390363)

    Published 2024
    “…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …”
  18. 58

    MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

    Published 2025
    “…This paper first proposes the QUBO-MCLP algorithm workflow and designs the Transformation Operator for Inequality Constraints Considering the Capacity of Accessible Providers (TOICCAP), which accounts for the scale of accessible supply points. …”
  19. 59

    Table 8_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  20. 60

    Table 5_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”