Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

Best optimizer results of Adaboost. حسب Balraj Preet Kaur (20370832)

Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

Best optimizer results of KNN. حسب Balraj Preet Kaur (20370832)

Best optimizer results of KNN. حسب Balraj Preet Kaur (20370832)

One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

Best optimizer results of Decision tree. حسب Balraj Preet Kaur (20370832)

Best optimizer result for Adaboost classifier. حسب Balraj Preet Kaur (20370832)

Best optimizer results for random forest. حسب Balraj Preet Kaur (20370832)

Best optimizer results of Decision tree. حسب Balraj Preet Kaur (20370832)

Best optimizer results of Extra tree. حسب Balraj Preet Kaur (20370832)

Best optimizer results of Random Forest. حسب Balraj Preet Kaur (20370832)

Best optimizer result for Extra tree. حسب Balraj Preet Kaur (20370832)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

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)

"…Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …"

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

"…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"

Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf حسب Muhammad Awais (263096)

"…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"

An intelligent decision-making system for embryo transfer in reproductive technology: a machine learning-based approach حسب Sanaa Badr (20628838)

DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx حسب Yuhong Huang (115702)

"…We applied several feature selection strategies including the least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE), the maximum relevance minimum redundancy (mRMR), Boruta and Pearson correlation analysis, to select the most optimal features. We then built 120 diagnostic models using distinct classification algorithms and feature sets divided by MRI sequences and selection strategies to predict molecular subtype and AR expression of breast cancer in the testing dataset of leave-one-out cross-validation (LOOCV). …"

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. حسب Linus Woitke (22783534)

"…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …"