Artificial intelligence (AI) in textile industry operational modernization

MP Sikka, A Sarkar, S Garg - Research Journal of Textile and Apparel, 2024 - emerald.com
Purpose With the help of basic physics, the application of computer algorithms in the form of
recent advances such as machine learning and neural networking in textile Industry has …

[PDF][PDF] An investigation on the dependency of bursting strength of knitted fabrics on knit structures

DB Sitotaw - Ind Eng Manage, 2017 - academia.edu
Knitted fabrics bursting strength dependency was investigated. The investigation was by
reviewing previously done and published research articles. In this investigation the …

Prediction of pilling grade of alkali-treated regenerated cellulosic fabric using fuzzy inference system

LP Muthusamy, AP Periyasamy… - The Journal of the Textile …, 2022 - Taylor & Francis
Fabric pilling is formed due to the entanglement of fibers during mechanical actions
including abrasion, domestic washing process, and wearing cycles. Pilling resistance is one …

Predicting the tearing strength of laser engraved denim garments using a fuzzy logic approach

J Sarkar, MA Al Faruque, E Khalil - Heliyon, 2022 - cell.com
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 …

Investigation of the effect of different process variables on color and physical properties of viscose and cotton knitted fabrics

I Hossain, M Moniruzzaman, M Maniruzzaman, MA Jalil - Heliyon, 2021 - cell.com
The aim of this study was to investigate and compare the effect of process variables on the
color and physical characteristics of viscose and cotton knitted fabrics. The effect of dye …

Evaluation of the Effect of Environmental Parameters on the Spread of COVID‐19: A Fuzzy Logic Approach

MA Chowdhury, QZ Shah, MA Kashem… - Advances in Fuzzy …, 2020 - Wiley Online Library
In recent months, the world has experienced the outbreak and spread of a new infectious
disease, COVID‐19. The spread of this disease has been so severe, and even many …

Improving the accuracy rate of link quality estimation using fuzzy logic in mobile wireless sensor network

Z Huang, LY Por, TF Ang, MH Anisi… - Advances in Fuzzy …, 2019 - Wiley Online Library
Link quality estimation is essential for improving the performance of a routing protocol in a
wireless sensor network. Many methods have been proposed to increase the performance …

Neural network model applied to electromagnetic shielding effectiveness of ultra-light Ni/Cu coated polyester fibrous materials

AP Periyasamy, LP Muthusamy, J Militký - Scientific Reports, 2022 - nature.com
The purpose of effective electromagnetic interference (EMI) shielding is to prevent EMI from
smartphone, wireless, and utilization of other electronic devices. The electrical conductivity …

Adaptive neuro-fuzzy inference system to predict the release of microplastic fibers during domestic washing

LP Muthusamy, AP Periyasamy… - … of Testing and …, 2022 - asmedigitalcollection.asme.org
Microplastic particles are a burgeoning population crisis in marine environments. This work
is to predict the release of microplastic fibers from jeans made from polyester during …

[PDF][PDF] Predicting fabric GSM and crease recovery angle of laser engraved denim by fuzzy logic analysis

J Sarkar, MS Mondal, E Khalil - J. Eng. Appl. Sci, 2020 - researchgate.net
Journal of Engineering and Applied Science Page 1 *Corresponding authors: Department of
Textile Engineering, Khulna University of Engineering & Technology (KUET), Khulna- 9203 …