Table_9_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_7_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_4_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_2_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_6_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_10_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Table_3_Preliminary prediction of semen quality based on modifiable lifestyle factors by using the XGBoost algorithm.docx حسب Mingjuan Zhou (12880019)

"…Then, machine learning with the XGBoost algorithm was applied to establish a primary prediction model by using the collected data. …"

Data_Sheet_1_Optimizing clinical outcomes in polypharmacy through poly-de-prescribing: a longitudinal study.docx حسب Doron Garfinkel (18465243)

The primary composite outcome between the propensity matched Bebtelovimab (BEB) monoclonal antibody (MAb) and untreated control groups. حسب Srilekha Sridhara (15374444)

الموضوعات:

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

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

Related Work Summary. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Simulation parameters. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Training losses for N = 10. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Normalized computation rate for N = 10. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

"…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"

Application of ABC SMC to the fitting of the binary flip with cusp model. حسب Elena Camacho-Aguilar (10906327)

Wilcoxon test results for feature selection. حسب Amal H. Alharbi (21755906)

"…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …"

Feature selection metrics and their definitions. حسب Amal H. Alharbi (21755906)

"…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …"

Statistical summary of all models. حسب Amal H. Alharbi (21755906)

"…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …"