Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
VCDA3
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
The demand of blended yarn has been increasing gradually due to some of its distinctive properties. It is a challenging task for textile technologists to ensure the appropriate blend composition and blending ratio for the developments of the spinning industry. We should reduce dependency from natural fiber as their properties are not adequate in advancing textile industry and so they are used together in blends with synthetic fibers to compensate their limitations. The aim of this research work was to study the comparative properties of cotton/viscose and cotton/modal blended yarn. Cotton was blended with viscose and modal fibers separately in 50/50 ratio. Blending was carried out at draw frame, and finally 31/1Ne blended yarns were produced. The yarn properties such as unevenness, imperfection, hairiness, single yarn strength (cN/tex) and bundle yarn strength (CSP) were tested, and their comparative results were analyzed. Cotton/modal 50/50 blended yarn showed significantly better properties than the cotton/viscose 50/50 blended yarn.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
