“Detecting At-Risk Students with Early Interventions Using Machine Learning Techniques” (2025) Scientific Digest : Journal of Applied Engineering, 13(3), pp. 238–254. Available at: http://joae.org/index.php/JOAE/article/view/109 (Accessed: 30 April 2026).