Abstract Machine learning (ML) and soft computing (SC) techniques have contributed
immensely towards improvisation of manufacturing, process and quality control, automation …

Nowadays apparel industries face ever-increasing global competition and unpredictable
variations in demand. These pressures force manufacturers to consistently improve the …

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 introduces a novel technique to evaluate comfort properties of zinc oxide
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …

Nowadays, the polyurethane and its derivatives are highly applied as a surface modification
material onto the textile substrates in different forms to enhance the functional properties of …

This paper deals with the prediction of methylene blue (MB) dye removal under the influence
of titanium dioxide nanoparticles (TiO 2 NPs) through deep neural network (DNN). In the first …

The acoustic emission (AE) technique is widely used at the present time for almost any kind
of material characterization. The main aim of the present study was to predict the tensile …

The fashion industry often falls short of sustainability goals, but contemporary technological
advancements offer a wide range of tools to address this issue. Artificial Intelligence (AI) has …

This research aims to develop a fuzzy logic-based model for predicting the warp way and
weft way Tearing Strength (TS) of laser engraved denim garments concerning two of the …

Purpose–Knitted fabrics containing elastane provide high level of comfort and ease of usage
because of the elastic and drape properties over the body. Knitted fabrics respond to every …