E.G.S. Pillay Engineering College

Real-time target tracking in passive wireless sensor networks using sensor fusion and Kalman filtering

This work presents a detailed study on passive wireless sensor network tracking for adaptive estimation and control. Existing models mainly use a fixed Kalman framework for data fusion under linear and time-invariant assumptions. These available approaches show limited efficiency...

Enhanced Arrhythmia Detection Employing CNN-LSTM Hybrid Architectures and Advanced Signal Processing Techniques

Cardiac arrhythmias are abnormal heart rhythms that can result in severe health complications, including stroke, heart failure, and sudden cardiac arrest. Early detection of arrhythmias is essential to reduce the risk of these life-threatening events. Electrocardiogram (ECG) sign...