Abstract: In recent years, the application of machine learning in non-intrusive load monitoring (NILM) for load identification has become increasingly widespread. Current research primarily employs ...

This project utilized the LightGBM algorithm alongside the Boruta feature selection technique to identify the most critical features and develop a predictive model for forecasting loan defaults in the ...

Abstract: Malware has posed a serious problem in today's world of cyber security. Effective malware detection approaches minimize damages caused by malware attack, while efficient detection strategies ...