The use of wavelet analysis contributes to better modeling for financial time series in the
sense of both frequency and time. In this study, S&P500 and NASDAQ data are separated …

This paper introduces a new approach for the segmentation of skin lesions in dermoscopic
images based on wavelet network (WN). The WN presented here is a member of fixed-grid …

Based on the theory of stochastic resonance, an adaptive single-well stochastic resonance
(ASSR) coupled with genetic algorithm was developed to enhance the signal-to-noise ratio …

ABSTRACT Segmentation of Synthetic Aperture Radar (SAR) images have a great use in
observing the global environment, and in analysing the target detection and recognition. But …

Compared with speckle noise, the targets in synthetic aperture radar (SAR) images have
strong directionality. Since the target and noise are different in the directional sub-bands on …

Artificial Neural networks are a major soft-computing technology. Multi-layer perceptron
network with back propagation training algorithm, are used in various scientific and …

Abstract ــــ Automatic signature verification is a wellestablished and an active area for
research with numerous applications such as bank check verification, ATM access, etc. Most …

Combining wavelet transform and artificial neural network, a wavelet neural network for
harmonic detection is proposed. By setting the wavelet function as the excitation transfer …

Aerial images segmentation is a principal task in many applications of remote sensing such
as natural disaster monitoring, residential area detection and etc. This paper presents a new …

Automatic human iris verification is an active research area with numerous applications in
security purposes. Unfortunately, most of feature extraction methods in human iris …