A Conceptual Explainable Multi-Modal Breast Cancer Intelligence Framework with Feasibility Analysis, Computational Characterisation, and Clinical Translation Roadmap

BoneScanAI: A Clinically-Explainable Multiclass Fracture Classification Framework Using Hybrid Artificial Intelligence and Uncertainty-Aware Fusion

Artificial neural network modeling for the prediction of viscosity of Ag–Fe3O4 ethylene glycol hybrid ferro-nanofluid with different regressors for regression operations

Experimental and machine learning-assisted optimization of diesel engines using swirl-generating piston designs and operating variables

Influence of Graphene on Split Tensile Strength of Geopolymer Concrete: An Interpretable ML and PDP-Based Approach

Imbalance-Aware Breast Cancer Classification Using SMOTE, ADASYN, and Cost-Sensitive Ensemble Learning on the Wisconsin Diagnostic Dataset