In this one-man comedy, Rodney Gardiner tries to abandon God despite his deeply Christian roots. For this undocumented Black boy growing up in tumultuous 1980s Miami, racial unrest, an immigration ...

Abstract: In the field of fault diagnosis, data imbalance is a common issue, which leads to the degradation of the recognition rate of faults classification models. The Synthetic Minority Oversampling ...

Abstract: One of the most common problems in data mining applications is the uneven distribution of classes, which appears in many real-world scenarios. The class of interest is often highly ...

The AIOps-Threat-Intelligence-Ensemble is an IP address risk classification system that leverages Machine Learning techniques and Cyber Threat Intelligence (CTI). The project implements multiple ...

A comprehensive machine learning platform that predicts student dropout risk using dual algorithms (Random Forest & XGBoost with SMOTE) and provides personalized, data-driven support recommendations ...