Predictive Maintenance of VRLA Batteries in BTS Systems
This undergraduate project was developed in collaboration with Nian Electronic Company to implement predictive maintenance for Valve-Regulated Lead-Acid (VRLA) batteries in BTS systems. The project implements the methodology from the research paper “Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers”using a Gradient Boosted Decision Trees (GDBT) model.
Aug 1, 2025
Seizure Signal Classification
Developed a seizure detection system using EEG data and machine learning models including SVM, Random Forest, and CNNs. Performed preprocessing, feature engineering, and K-fold validation to ensure accuracy and generalizability. Focused on biomedical signal analysis in practical ML settings.
Dec 1, 2022