A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. …"

Flow diagram of the proposed model. حسب Uğur Ejder (22683228)

"…<div><p>Machine learning models are increasingly applied to assisted reproductive technologies (ART), yet most studies rely on conventional algorithms with limited optimization. …"

Datasets and their properties. حسب Olaide N. Oyelade (14047002)

"…<div><p>Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. …"

Parameter settings. حسب Olaide N. Oyelade (14047002)

"…<div><p>Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. …"

Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data حسب Changhun Kim (682542)

"…In this study, the effects of CI and data scarcity (DS) on the performance of binary classification models were investigated using ToxCast bioassay data. …"

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

Predicting Thermal Decomposition Temperature of Binary Imidazolium Ionic Liquid Mixtures from Molecular Structures حسب Hongpeng He (348094)

"…The subset of optimal descriptors was screened by combining the genetic algorithm with the multiple linear regression method. …"

SHAP bar plot. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Sample screening flowchart. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Descriptive statistics for variables. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

SHAP summary plot. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

ROC curves for the test set of four models. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Display of the web prediction interface. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Optimal Time Intervals of Breech Births Dataset حسب Emma Spillane (11249121)

Latent state estimations for experimental data with interruptions for subject 18. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 13. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 7. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 15. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 21. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with interruptions for subject 5. حسب Samiul Alam (18563323)