there are a variety of electrocardiogram (ecg) based methods to detect myocardial infarction (mi) patients. this study used the signal averaged electrocardiogram (saecg) and its wavelet coefficient as an index to detect mi. orthogonal leads signals from 50 acute myocardial infarction (ami) and 50 healthy subjects were selected from the national metrology institute of germany (ptb diagnostic dat...

In the domain of classification tasks, artificial neural nets (ANNs) are prominent data mining methods. Paradigms like learning vector quantization (LVQ) and probabilistic neural net (PNN) are suitable classifiers. In this paper, new approaches of evolutionary optimized LVQs and PNNs are proposed. Their classification accuracy is compared with results of standard PNN and LVQ. The complex real-w...

This paper presents a transient power quality (PQ) disturbance classification approach based on a generalized S-transform and probabilistic neural network (PNN). Specifically, the width factor used in the generalized S-transform is feature oriented. Depending on the specific feature to be extracted from the S-transform amplitude matrix, a favorable value is determined for the width factor, with...

This paper presents transient stability assessment of a large actual 87-bus system and the IEEE 39-bus system using the probabilistic neural network (PNN) with enhanced feature selection and extraction methods. The investigated power systems are divided into smaller areas depending on the coherency of the areas when subjected to disturbances. This is to reduce the amount of data sets collected ...

In cloud classification from satellite imagery, temporal change in the images is one of the main factors that causes degradation in the classifier performance. In this paper, a novel temporal updating approach is developed for probabilistic neural network (PNN) classifiers that can be used to track temporal changes in a sequence of images. This is done by utilizing the temporal contextual infor...

Our text-independent Probabilistic Neural Network (PNN)-based speaker verification system, referred to as WCL-1, a participant in the One-Speaker Detection Task of the 2003 NIST Speaker Recognition Evaluation (SRE), is presented here. The WCL-1 system is built on modular structure with a distinct PNN for each enrolled user. A gender-dependent universal background model, representing the world o...

This paper proposes the fractal patterns classifier for multiple cardiac arrhythmias on field-programmable gate array (FPGA) device. Fractal dimension transformation (FDT) is employed to adjoin the fractal features of QRS-complex, including the supraventricular ectopic beat, bundle branch ectopic beat, and ventricular ectopic beat. FDT with fractal dimension (FD) is addressed for constructing v...

Given the circumstances of countries in which wars, political instability, and other uncertainties are passing that make atmosphere impure, have caused many diseases, one these diseases has spread widely is cancer. Cancer a very common disease, them affect person lead him or her to death. Among been recent years specifically brain tumors they need early diagnosis do not cause death person. Furt...

The privacy invasion of the biometric technology is getting public concerns due to the fact that biometric characteristics are immutable. In other words, their compromise is permanent. Reissuable biometrics was devised to make the reissuable or replaceable of biometric templates possible once they are found compromised. Biometric Strengthening is a form of reissuable biometrics. It strengthens ...

The present work proposes towards flow pattern prediction in a liquidliquid microchannel flow through a circular channel. Mass transfer in a microchannel mainly depends on the flow regime inside the channel. The liquid-liquid two phase flow regime in a microchannel depends on the flow velocity and the junction characteristics. Hence, the prediction of patterns has a superior role for the charac...