Journal of Computer Science, Published online: 28 May 2026; doi:10.3844/jcssp.2026.1620.1635 Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model pre...
Hybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance Prediction
Chih How Bong
