Abstract: Determination of the diffusion coefficient on the base of solution of a linear inverse problem of the parameter estimation using the Least-square method is presented in this research. For this propose a set of temperature measurements at a single sensor location inside the heat conducting body was considered. The corresponding direct problem was then solved by the application of the ...

Determining the diffusion coefficient based on the solution of the linear inverse problem of the parameter estimation by using the Least-square method is presented. A set of temperature measurements at a single sensor location inside the heat conducting body is required. The corresponding direct problem will be solved by an application of the heat fundamental solution.

New properties of latent root regression are shown aiding insight into the determination of a prediction model. Moreover, a procedure for the determination of a prediction model is discussed. It has similarities to partial least squares and di,er from the latter method only in the way components used as predictors are formed. This procedure is extended to the case where the problem at hand conc...

In this paper, we present a system that automatically generates caricatures from input face images. From example caricatures drawn by an artist, our caricature system learns how an artist draws caricatures. In our approach, we decouple the process of caricature generation into two parts, i.e., shape exaggeration and texture style transferring. The exaggeration of a caricature is accomplished by...

This study presents a conceptual model to investigate the e-health readiness required by healthcare organization and the impact of such readiness in enhancing e-health transformation success. A scale to measure e-health readiness was developed and validated; then it was used to collect the large-scale survey data. The partial least squares (PLS) method was used to empirically test the conceptua...

Extracting facial feature points such as eyes, mouth and nose plays an important role in many applications. Most of the proposed methods are base on the geometrical features of images. In this paper, a novel method based on Partial Least Square Regression (PLSR) model is introduced to extract the relationship between the feature point coordinates and gray value distribution in the image. The pr...

Some of the models using partial least squares (PLS) in Information Systems (IS) field may have serious problems because do not properly address endogeneity. This may suppose a problem in IS theory building because it may lead IS scholars to non-correct results. Although the IS community’s awareness is rising, we do not have a clear understanding of the problem nor fine-grained practical guidel...