Computational intelligence techniques for financial trading systems have always been quite
popular. In the last decade, deep learning models start getting more attention, especially …

Long duration driving is a significant cause of fatigue related accidents on motorways.
Fatigue caused by driving for extended hours can acutely impair driver's alertness and …

The need for increased accuracies in time series forecasting has motivated the researchers
to develop innovative models. In this paper, a new hybrid time series neural network model …

In this study, heartbeat time series are classified using support vector machines (SVMs).
Statistical methods and signal analysis techniques are used to extract features from the …

Mental load has an important effect on the efficiency and reliability of human–machine
systems. This study discussed in this paper looked at the heart rate variability (HRV) signal …

OBJECTIVE: The paper addresses a common and recurring problem of electrocardiogram
(ECG) classification based on heart rate variability (HRV) analysis. Current understanding of …

Statistical, spectral, multi-resolution and non-linear methods were applied to heart rate
variability (HRV) series linked with classification schemes for the prognosis of …

The problem of maximizing the performance of the detection of ischemia episodes is a
difficult pattern classification problem. The motivation for developing the supervising network …

A non-contact capacitive coupled electrocardiography (cECG) system to estimate driver's
fatigue is presented in this paper. Twenty male volunteers participated in this paper on a …

The Enzyme Classification (EC) number is a numerical classification scheme for enzymes,
established using the chemical reactions they catalyze. This classification is based on the …