Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient.
One such bio-signal of paramount importance is the electrocardiogram (ECG), which …

Fuzzy neural networks (FNNs) have been successfully applied to generate predictive rules
for medical or diagnostic data. This brief presents an approach to detect premature …

We present an algorithm which renders opaque and/or translucent polygons embedded
within volumetric data. The processing occurs such that all objects are composited in the …

This study presents a forecasting model of cyclical fluctuations of the economy based on the
time delay coordinate embedding method. The model uses a neuro-fuzzy network called …

This paper presents a methodology to forecast the direction of change in the daily Korea
composite stock price index (KOSPI) using input features that are derived from KOSPI and …

This paper discusses results of the first two offerings of an experimental and innovative first-
year chemical engineering curriculum. The curriculum is project-based in that it emphasizes …

Fuzzy neural networks have been successfully applied to generate predictive rules for
medical or diagnostic data. This paper presents an approach to automatically detect ECG …

The ventricular arrhythmias including ventricular tachycardia (VT) and ventricular fibrillation
(VF) are life-threatening heart diseases. This paper presents an approach to detect normal …

This paper presents an approach to detect arrhythmia using heart rate variability and a fuzzy
neural network. The proposed algorithm diagnoses arrhythmia using 32 RR-intervals that …

KOSPI 는 정치 및 경제를 포함한 다양한 요소에 영향을 받는 관계로 정확한 단기 KOSPI 예측
방법론 개발은 매우 어려운 문제로 여겨지고 있다. 본 논문에서는 가중 퍼지소속함수 기반 …