بدائل البحث:
required optimization » guided optimization (توسيع البحث), resource optimization (توسيع البحث), feature optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
task required » task requiring (توسيع البحث), time required (توسيع البحث), also required (توسيع البحث)
sample design » sampling design (توسيع البحث)
final sample » fecal samples (توسيع البحث), total sample (توسيع البحث)
binary task » binary mask (توسيع البحث)
required optimization » guided optimization (توسيع البحث), resource optimization (توسيع البحث), feature optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
task required » task requiring (توسيع البحث), time required (توسيع البحث), also required (توسيع البحث)
sample design » sampling design (توسيع البحث)
final sample » fecal samples (توسيع البحث), total sample (توسيع البحث)
binary task » binary mask (توسيع البحث)
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61
Orthogonal experiment scheme and results.
منشور في 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. …"
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62
Comparison of precision of various proxy models.
منشور في 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. …"
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63
Comparison between actual and predicted values.
منشور في 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. …"
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64
Three-dimensional heat transfer model parameters.
منشور في 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. …"
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65
2C discharge rate grid independence test.
منشور في 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. …"
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66
Related parameters of square LIBs.
منشور في 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. …"
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67
Battery pack model.
منشور في 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. …"
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68
MCLP_quantum_annealer_V0.5
منشور في 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. …"
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69
Table 8_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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70
Table 5_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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71
Table 4_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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72
Table 1_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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73
Table 6_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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74
Table 3_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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75
Table 9_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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76
Table 7_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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77
Table 2_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx
منشور في 2025"…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …"
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78
Personalized Dose Finding Using Outcome Weighted Learning
منشور في 2016"…To estimate the optimal IDR using such data, we propose an outcome weighted learning method based on a nonconvex loss function, which can be solved efficiently using a difference of convex functions algorithm. …"
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79
Fair Policy Targeting
منشور في 2022"…We adopt the nonmaleficence perspective of “first do no harm”: we select the fairest allocation <i>within</i> the Pareto frontier. We cast the optimization into a mixed-integer linear program formulation, which can be solved using off-the-shelf algorithms. …"
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80