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Textile materials provide a simple and convenient protection against UV radiation. To assign the degree of UV radiation protection of textile materials, the Ultraviolet Protection Factor (UPF) is com...
A verification of regressive models based on artificial neural networks and multiple regression analysis was carried out. The analysis of the results obtained showed that artificial neural networks ...
Applying the software environment Statistica for neural networks allowed the use of artificial neural networks and regression analysis to predict the physical properties of unknotted joints of yarn ...
This paper describes an objective evaluation method for fabric wrinkles of shirts formed after washing. The fabric wrinkle images were measured by texture analysis and evaluated subjectively by expe...
In this study, an attempt has been made to predict the drape profile of woven fabrics using finite element analysis. The finite element method has been used in the prediction of structural instabili...
A series of experiments and analyses were performed to study the dynamic heat and moisture transferring procedure as well as evaluate the heat-moisture comfort property of fabric in wearing conditions...
In this paper some models for predicting the most important ring yarn quality characteristics were built by using AFIS (Advanced Fibre Information System) data. Yarn count, twist and roving properties...
Fuzz on the fabric surface is very important for appearance quality, since it can lead to pilling and an unpleasant handle and appearance. Thus, it is important to predict the fuzz value on the fabric...
Stretch woven fabrics are widely used because of their good elongation and recovery (residual extension) properties. Several parameters and test method are used to measure the properties of these fabr...
This study aims to predict the strength and elongation properties of cotton/polyester blended rotor yarns, using blend ratios and yarn count as predictors. A simplex lattice design with two replicatio...

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