ETEM, Taha. 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, [S. l.], v. 73, n. 5, p. e155033, 2025. DOI: 10.24425/bpasts.2025.155033. Disponível em: https://wydawnictwo.pan.pl/index.php/bpasts/article/view/860. Acesso em: 28 may. 2026.