Comparing ROSE and the NBI algorithms with varying sizes of the Pareto set/levels of recursion of the ROSE algorithm when applied to the BIOBJ problem: (a) 5 points/two recursion l... by Ihab Hashem (21156806)

Pareto front representations obtained by solving the BIOBJ problem using the ROSE algorithm and the NBI algorithm, as well as a visualization of the solution process of the ROSE al... by Ihab Hashem (21156806)

Solving the three-objectives numerical problem from [36] using a generalized version of the ROSE algorithm for three-objective problems: (a) The Pareto front representation corresp... by Ihab Hashem (21156806)

Automated Discovery and Optimization of 3D Topological Photonic Crystals by Samuel Kim (1682104)

Subjects:

Genetic algorithm flowchart. by Qian Huang (127640)

“…In addition, there are economies of scale in the construction and operation of cold chain storage facilities. Based on the above considerations, with the aim of minimizing the total daily cost, an optimization model for the layout of multi-level cold chain storage facilities is established to determine the number, location, type and capacity of cold chain storage facilities at the same time. …”

Convergence iteration of the algorithm. by Qian Huang (127640)

“…In addition, there are economies of scale in the construction and operation of cold chain storage facilities. Based on the above considerations, with the aim of minimizing the total daily cost, an optimization model for the layout of multi-level cold chain storage facilities is established to determine the number, location, type and capacity of cold chain storage facilities at the same time. …”

Statistics of algorithm operation results. by Qian Huang (127640)

“…In addition, there are economies of scale in the construction and operation of cold chain storage facilities. Based on the above considerations, with the aim of minimizing the total daily cost, an optimization model for the layout of multi-level cold chain storage facilities is established to determine the number, location, type and capacity of cold chain storage facilities at the same time. …”

Stylised representation of the SPORES algorithm, in its standard (a) and HITL (b) formulations. by Francesco Lombardi (4520995)

Results of the multivariate cluster analysis for the classification of health macroregions into homogeneous groups based on their climate and dengue transmission seasons by Ayrton Sena Gouveia (21587635)

Study workflow overview. by Janne J. Luppi (17804327)

Multiclass—AUC ROC Curve for XGBoost model. by Sasja Maria Pedersen (11880264)

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a “time-to-next-positive-test” concept, with different durations associated with specific intervals.…”

Confusion matrix—XGBoost. by Sasja Maria Pedersen (11880264)

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a “time-to-next-positive-test” concept, with different durations associated with specific intervals.…”

Model information. by Sasja Maria Pedersen (11880264)

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a “time-to-next-positive-test” concept, with different durations associated with specific intervals.…”

Predictor variables. by Sasja Maria Pedersen (11880264)

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a “time-to-next-positive-test” concept, with different durations associated with specific intervals.…”

SHAP. by Sasja Maria Pedersen (11880264)

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a “time-to-next-positive-test” concept, with different durations associated with specific intervals.…”

Feature importance. by Sasja Maria Pedersen (11880264)

“…Model performance is evaluated using ROC-AUC, and optimal intervals are determined based on a “time-to-next-positive-test” concept, with different durations associated with specific intervals.…”

Diagram illustrating the MEM method applied to the HMR RRAS 12, in São Paulo state; A: The data input contains the number of cases per week per year, needed to describe the disease... by Ayrton Sena Gouveia (21587635)

Data_Sheet_1_Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.pdf by Yuwen Lyu (14330781)

“…</p>Method<p>Patient medical decision-making tendencies were predicted by primary survey data obtained from 248 participants at third-level grade-A hospitals in China. Specifically, 12 predictor variables were set according to the literature review, and four types of outcome variables were set based on the optimization principle of clinical diagnosis and treatment. …”

Data Sheet 1_Multi-stage bidirectional informed-RRT * plant protection UAV path planning method based on A * algorithm domain guidance.pdf by Jian Li (41607)

Supplementary Material for: Therapeutic Drug Monitoring to Guide Clinical Decision Making in Inflammatory Bowel Disease Patients with Loss of Response to Anti-TNF: A Delphi Techniq... by Greuter T. (4155094)