Hybrid Advances, 100725, 2026
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
A Conceptual Explainable Multi-Modal Breast Cancer Intelligence Framework with Feasibility Analysis, Computational Characterisation, and Clinical Translation Roadmap
Imbalance-Aware Breast Cancer Classification Using SMOTE, ADASYN, and Cost-Sensitive Ensemble Learning on the Wisconsin Diagnostic Dataset