|
1
|
Applying the Autoencoder model for URL phishing detectionIn the era of digital transformation, alongside the rapid devel-opment of the Internet and online applications, phishing at-tacks targeting users through malicious URLs have been in-creasingly... Author: Mai Dang Thi Keyword: URL Phishing detection Autoencoder latent space
|
|
2
|
A hybrid LightGBM-LSTM machine learning model for short-term water level forecasting in the Mekong River BasinAccurate 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
|
|
3
|
An Empirical Analysis of Code Complexity and Its Impact on Software Defect DensityThis 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.
|
|
4
|
Machine learning-based prediction of construction cost overruns using Random ForestCost 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
|