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

“…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. …”

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

“…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. …”

Battery pack model. by Xueyong Pan (20390363)

“…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. …”

MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

“…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. …”

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

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

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

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

Table 4_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Table 1_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Table 6_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Table 3_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Table 9_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Table 7_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Table 2_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

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

Validation of image processing steps and metric results using images of a microfluidic device. by Gavrielle R. Untracht (11820311)

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

Personalized Dose Finding Using Outcome Weighted Learning by Guanhua Chen (1421857)

“…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. …”

Fair Policy Targeting by Davide Viviano (14264992)

“…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. …”

Image2_A Novel Deep Learning Method to Predict Lung Cancer Long-Term Survival With Biological Knowledge Incorporated Gene Expression Images and Clinical Data.JPEG by Shuo Wang (143908)

Image7_A Novel Deep Learning Method to Predict Lung Cancer Long-Term Survival With Biological Knowledge Incorporated Gene Expression Images and Clinical Data.JPEG by Shuo Wang (143908)

Table1_A Novel Deep Learning Method to Predict Lung Cancer Long-Term Survival With Biological Knowledge Incorporated Gene Expression Images and Clinical Data.XLSX by Shuo Wang (143908)