In recent years using artificial neural networks has increased as powerful tool with capability to predict linear and nonlinear relationships in complex engineering problems. Using this toolbox has been significant in different civil engineering fields, especially hydrological problems for various important parameters with different variables and complex mathematical equation. Predict soil eros...

Estimating the images using decimated wavelet transform is very popular technique in different applications. In this paper a new thresholding function with combination of Smoothly Clipped Absolute Deviation (SCAD), Hard thresholding and soft thresholding functions are introduced for wavelet based denoising of images. The proposed technique is applied for denoising of noisy images contaminated w...

Removal of noise from the medical images is very challenging in image processing. In recent years, technological development has improved significantly in analyzing medical imaging. This paper proposes different filtering techniques for the removal of speckle noise from CT medical images by topological approach. The filters are constructed based on metric topological neighbourhood. The quality ...

This study proposes a feasible method for spectral color reproduction based on a node address array selection technique from CIE tristimulus values. In this method three-dimensional lookup table (3-D LUT) has been constructed to connect the node address array and the spectrum as the source and destination spaces. First we present a general framework for how to reproduce spectral color. Then res...

The mammography is the most effective procedure to diagnosis the breast cancer at an early stage. This paper proposes mammogram image segmentation using Rough K-Means (RKM) clustering algorithm. The median filter is used for pre-processing of image and it is normally used to reduce noise in an image. The 14 Haralick features are extracted from mammogram image using Gray Level Cooccurrence Matri...

Taxonomic Recent trends in the management of water supply have increased the need for modeling techniques that can provide reliable, efficient, and accurate representation of the nonlinear dynamics of water quality within water distribution systems. Since artificial neural networks have been widely applied to the nonlinear transfer function approximation, in this study we present an empirical m...

A computational model of the tibiofemoral joint utilizing the discrete element analysis method has been developed and validated with human cadaveric knees. The computational method can predict load distributions to within a root mean square error (RMSE) of 3.6%. The model incorporates subject-specific joint geometry and the health of the subjects' articular cartilage to determine the cartilage ...

The first part of the work detailed in this paper, analyzes the probability distribution of vowels in Malayalam, an Indian language. Different probability distributions are fitted to the duration values of each vowel and the best fit is determined using quantile-quantile plot. The probability distribution of duration values, in accordance with the different factors affecting durations are also ...

In the last few years a self-regulating active system is being worked on that develops recommendations for user before the user actually requests for it. Content based and Collaborative filtering techniques are used to provide intelligent individual recommendations. The prediction system proposed lays basis on the technique of recommendation system applying collaborative filtering, the problems...

We used azimuthally-resolved spectroscopic Mueller matrix ellipsometry to study a periodic silicon line structure with and without artificially-generated line edge roughness (LER). The unperturbed, reference grating profile was determined from multiple azimuthal configurations using a generalized ellipsometer, focusing the incident beam into a 60 μm spot. We used rigorous numerical modeling, ta...