IEEE

A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance

Abstract: This study introduces a novel approach for detecting mental workload and stress, utilizing ECG and Fingertip-PPG data from the MAUS dataset. The dataset includes physiological recordings ...
IEEE

A Novel Interpretable Short-Term Load Forecasting Method Based on Kolmogorov-Arnold Networks

Abstract: Short-term load forecasting (STLF) plays a crucial role in the efficient and economical management of power systems. While artificial neural networks have achieved significant success in ...