In the context of rapidly disseminating online information, fake news has emerged as a serious threat to information security and public trust. Traditional detection methods based on content analysis...

Author: Anh Tran Thi Lan

Keyword: Fake news detection hypergraph neural networks machine learning graph-based models HGFND

Image enhancement is a meaningful problem in many practical applications. It plays an important role in preprocessing steps for recognition and information extraction. Image restoration is often...

Author: Dũng Nguyễn Đình

Keyword: Image restoration Gradient Descent iterative method convex optimization optimal parameter

Cost overrun is a common issue in construction projects, significantly affecting investment efficiency and project management. As projects become increasingly complex, developing accurate predictive...

Author: Thu Nguyen Minh, Anh Nguyen Vu Minh, Lan Tran Ha, Ha Nguyen Trong

Keyword: Construction cost overrun Machine learning Random Forest SHAP Project cost prediction

This study investigates the relationship between software complexity metrics and defect density using five NASA-PROMISE datasets (JM1, CM1, KC1, KC2, and PC1). Five widely validated complexity...

Author: Hien Doan Thi Thuy

Keyword: Software defect prediction Software complexity metrics NASA-PROMISE Random Forest SMOTE Feature importance.

Accurate short-term forecasting of river water levels plays an important role in flood risk management and water resource planning. This study proposes a hybrid forecasting framework that integrates...

Author: Dũng Nguyễn Đình, Trinh Nguyen Hien

Keyword: Machine learning models Time series forecasting LightGBM LSTM Hybrid model Mekong river