[1]
Etem, T. 2025. Interpretable machine learning for battery health insights: A LIME and SHAP-based study on EIS-derived features. Bulletin of the Polish Academy of Sciences Technical Sciences. 73, 5 (Oct. 2025), e155033. DOI:https://doi.org/10.24425/bpasts.2025.155033.