Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …

This paper presents a new hybrid approach for the prediction of functional properties ie, self-
cleaning efficiency, antimicrobial efficiency and ultraviolet protection factor (UPF), of titanium …

This paper represents the efficiency of machine learning tool, ie, artificial neural network
(ANN), for the prediction of functional properties of nano titanium dioxide coated cotton …

The mechanical behaviour of fibre-reinforced polymer composites (FRPCs) is considered
very complex due to many factors such as composition, material type, manufacturing …

Oral diseases are one of the major public health issues. Due to acquisition of pathogenic
resistance over conventional antimicrobials, the search for natural alternatives continues. In …

[EN] In the case of tangible cultural heritage items made of natural fibres, biodegradation
due to microorganisms can lead over time to undesirable deterioration, including physical …

This research was aimed to develop artificial neural network (ANN) models to predict yarn
crimp in woven barrier fabrics. For ANN training, 52 polyester (PES) multifilament barrier …

Porosity is one of the most important characteristics of fabrics that dictate the permeability
and retention properties of fabrics. Several technical uses require textiles with a combination …