Understanding the surrounding atmosphere and reacting accordingly with a precise action are always fascinating features of a material.

In recent years, the textile and fashion industries have witnessed an enormous amount of growth in fast fashion. On e-commerce platforms, where numerous choices are available, an efficient recommendation system is required to sort, order, and efficiently convey relevant product content or information to users. Image-based fashion recommendation systems (FRSs) have attracted a huge amount of attention from fast fashion retailers as they provide a personalized shopping experience to consumers. With the technological advancements, this branch of artificial intelligence exhibits a tremendous amount of potential in image processing, parsing, classification, and segmentation. Despite its huge potential, the number of academic articles on this topic is limited. The available studies do not provide a rigorous review of fashion recommendation systems and the corresponding filtering techniques. To the best of the authors’ knowledge, this is the first scholarly article to review the state-of-the-art fashion recommendation systems and the corresponding filtering techniques. In addition, this review also explores various potential models that could be implemented to develop fashion recommendation systems in the future. This paper will help researchers, academics, and practitioners who are interested in machine learning, computer vision, and fashion retailing to understand the characteristics of the different fashion recommendation systems.

High‐performance fibers developed since the 1960s have a wide range of applications including firefighters' protective clothing. Firefighters' protective clothing made of inherently flame‐resistant high‐performance fibers offers excellent protection in the new condition. However, these fibers experience aging as any polymer material. The situation is amplified due to the severe conditions associated with the firefighters' activities. And the consequences of a loss in the performance of the protective clothing can be dramatic for the firefighter's safety. This article provides a comprehensively review of the aging behavior of high‐performance fibers used in firefighters' protective clothing. Residual performance data have been identified both for used firefighter garments as well as fabric specimens subjected to accelerated aging. Research shows that different aging conditions affect the different fibers to a different degree. The specific conditions in which the aging is applied also affects the outcome in terms of loss in performance. Techniques successfully used to quantify the effect of aging on the performance of fire‐resistant fabrics are also briefly mentioned. Finally, the knowledge gained from this analysis of the literature as well as research gaps and further areas of investigation are discussed in this neglected yet critical topic of firefighters' protective clothing aging.

The physical properties of weft knitted fabrics can be modified according to the fabric structure and the raw material used to manufacture the final fabric. This research demonstrates the influence of fiber types and fabric structure on some specific physical properties such as bursting strength, wicking behavior, pilling effect, and abrasion resistance of weft knitted fabrics. For this purpose, in this research study, one natural fiber cotton, one regenerated fiber viscose, and one synthetic fiber polyester were used. At the same time, to avoid any conflicts of the other fabric production factors, the number of feeders, machine diameter, needle gauge, stitch length was kept constant during the production of the weft-knitted fabrics. Moreover, three different structures of single jersey fabric like plain single jersey, single lacoste, and double lacoste were used to produce nine single jerseys of weft knitted fabric, while in each knit structure, three fabrics were produced using 100% cotton, 100% viscose, and 100% polyester fiber. Statistical analysis has been performed along with factorial analysis of variance (ANOVA) followed by simple main effect and simple comparison analysis. The finding illustrates that both fiber types and fabric structure regulate the physical properties of weft knitted fabrics. The polyester fiber seems to possess excellent mechanical properties such as bursting strength, abrasion, and pilling resistance without any influence of fabric structures studied in this research. However, both the fiber types and fabric structure combinedly influence the wicking of weft knitted fabrics. Additionally, it has been assumed that the influence of fiber types and fabric structure on strength, pilling, abrasion-resistant, and wicking properties of fabrics also combined with the areal density and extensibility of weft knitted fabrics.

Mosquito-repellent textiles are a part of protective textiles which help in protection from the species that are prone to cause diseases like malaria and dengue fever. This study explored the possibility of natural extract (alcoholic) from peppermint leaves, stems, and garlic cloves to use as a mosquito-repellent finish material on knit fabric. Accordingly, different concentration (5%, 15%, 25%, and 35%) of PGE (Peppermint Garlic Extract) solution was prepared and applied to the developed fabric using an exhaust dyeing process to assess the mosquito (Aedes Aegypti L.) repellency performance. Following WHO (World Health Organization) standard (cone bioassay) and a self-modified cage technique from literature survey, mosquito protection and repellency tests have been performed for characterization. The findings revealed that the PGE-treated fabric samples C (25% PGE) and D (35% PGE) had the highest mosquito mortality (50.00% and 76.67%, respectively) and repellency (78.6% and 85.6%, respectively) rates. Moreover, this study evaluated the prepared PGE formulations’ shelf-life performance and colorfastness properties of PGE-treated fabrics, including the impact of washing cycles on the treated fabrics. There was no fungal growth, and the fabric showed excellent colorfastness properties. However, the efficacy of treated fabrics decreased with an increasing number of washes.