History of Process Transformation حسب de Wit Coetsee (21380672)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

"…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"

VLCC-States: Versioned Lineage-Driven Checkpointing of Composable States - Application to LLMs حسب Bogdan Nicolae (19418197)

Adjusted LASSO coefficients, Mexico 2022. حسب Oliver Mendoza-Cano (9148646)

datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf حسب Jan Tönshoff (10192709)

List of data tables. حسب Mukhtar Ijaiya (18935122)

"…By leveraging ML, HIV programs can implement data-driven, targeted interventions to improve care continuity. …"

Flow chart of data source inclusion. حسب Mukhtar Ijaiya (18935122)

"…By leveraging ML, HIV programs can implement data-driven, targeted interventions to improve care continuity. …"

Predictive model-building process. حسب Mukhtar Ijaiya (18935122)

"…By leveraging ML, HIV programs can implement data-driven, targeted interventions to improve care continuity. …"

Comparison of models performance metrics. حسب Mukhtar Ijaiya (18935122)

"…By leveraging ML, HIV programs can implement data-driven, targeted interventions to improve care continuity. …"

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

"…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. …"

Image 1_Random forest-driven mortality prediction in critical IBD care: a dual-database model integrating comorbidity patterns and real-time physiometrics.jpeg حسب Zhenze Zhang (22011422)

"…Predictors included demographics, comorbidities, laboratory parameters, vital signs, and disease severity scores. Missing data (<30%) were imputed using random forest. The cohort was split into training (75%) and internal testing (25%) sets, with hyperparameter optimization via 5-fold cross-validation. …"

Table 1_Random forest-driven mortality prediction in critical IBD care: a dual-database model integrating comorbidity patterns and real-time physiometrics.docx حسب Zhenze Zhang (22011422)

"…Predictors included demographics, comorbidities, laboratory parameters, vital signs, and disease severity scores. Missing data (<30%) were imputed using random forest. The cohort was split into training (75%) and internal testing (25%) sets, with hyperparameter optimization via 5-fold cross-validation. …"

Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants حسب Ahmed M. Alaa (5029781)

"…Risk prediction models currently recommended by clinical guidelines are typically based on a limited number of predictors with sub-optimal performance across all patient groups. Data-driven techniques based on machine learning (ML) might improve the performance of risk predictions by agnostically discovering novel risk predictors and learning the complex interactions between them. …"

Data_Sheet_1_Fine-Scale Coral Connectivity Pathways in the Florida Reef Tract: Implications for Conservation and Restoration.PDF حسب Charles Frys (8803796)

Data_Sheet_2_Fine-Scale Coral Connectivity Pathways in the Florida Reef Tract: Implications for Conservation and Restoration.pdf حسب Charles Frys (8803796)