
SSD Failure Detection
Analyzed and enhanced conventional machine learning algorithms to evaluate their effectiveness in predicting solid-state drive (SSD) failures using historical SMART (Self-Monitoring, Analysis, and Reporting Technology) data. The study involved feature engineering, model comparison, and performance evaluation to improve predictive accuracy, early failure detection, and storage system reliability.


