The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for
classification problems. Even so, results obtained through k-NN had been promising in …

The need to provide strong evidence of the validity of predictions from computational solid
mechanics models used in engineering design decisions is discussed. A new procedure is …

Engineering simulation has a significant role in the process of design and analysis of most
engineered products at all scales and is used to provide elegant, light-weight, optimized …

Thermoelastic stress analysis using arrays of small, low-cost detectors has the potential to
be used in structural health monitoring. However, evaluation of the collected data is …

Shape analysis techniques such as geometric moment descriptors, Fourier descriptors,
wavelet descriptors etc. have been used commercially in the fields of biometrics for finger …

In this paper, Kullback-Leibler Distance (KLD) is employed to measure the dissimilarity
between marginal statistical features of contourlet transform to fingerprint identification …

A robust fingerprint recognition system based on marginal statistics of 2D wavelet transform
is introduced which significantly improves the accuracy of previous wavelet based …

Energy conservation has become one of the most important topic of engineering research
over the last couple of decades all around the world and implies reduced energy …

This paper presents a novel approach of facial nerve paralysis evaluation system where it
includes both static and dynamic features to evaluate the severity level of paralysis and …

The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for
classification problems. Even so, results obtained through k-NN had been promising in …