IEEE

Expedited Machine Learning Antenna Optimization Using Dimensionality Reduction, Multi-Fidelity EM Models, and Rapid Final Tuning through Principal Directions

Abstract: The design of modern antenna systems has increasingly relied on numerical optimization techniques. Their use is mainly pertinent to geometry parameter adjustment, which often must be ...
IEEE

Efficient ECG Anomaly Detection Using Autoencoder-Based Dimensionality Reduction: A Comparative Study of Machine Learning Algorithms

Abstract: Electrocardiograms (ECGs) are widely used to diagnose various cardiovascular conditions. While deep learning models have shown high accuracy in ECG classification, challenges such as high ...