ARHAM SIDDIQUI; EMAN ZAHID. AI-Based Fault Diagnosis of Industrial Electric Motors Using Multi-Sensor Data: A Comparative Evaluation of Random Forest, XGBoost, Support Vector Machine, and Artificial Neural Network Models. Journal of Advanced Engineering & Applied Sciences, [S. l.], v. 2, n. 3, p. 11–18, 2026. Disponível em: https://rjsaonline.org/index.php/JAEAS/article/view/725. Acesso em: 23 oct. 2026.