Classification of textile polymer composites: Recent trends and challenges

N Amor, MT Noman, M Petru - Polymers, 2021 - mdpi.com
Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …

A review of deep learning within the framework of artificial intelligence for enhanced fiber and yarn quality

N Ingle, WJ Jasper - Textile Research Journal, 2024 - journals.sagepub.com
In the textile production chain, fibers serve as the foundational units for yarn, and yarn, in
turn, acts as a fundamental component for woven or knitted fabrics. The quality control of …

Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model

N Amor, MT Noman, M Petru, N Sebastian - Scientific Reports, 2022 - nature.com
This paper introduces a novel technique to evaluate comfort properties of zinc oxide
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …

Neural network-crow search model for the prediction of functional properties of nano TiO2 coated cotton composites

N Amor, MT Noman, M Petru, A Mahmood, A Ismail - Scientific Reports, 2021 - nature.com
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 …

Prediction of functional properties of nano coated cotton composites by artificial neural network

N Amor, MT Noman, M Petru - Scientific Reports, 2021 - nature.com
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 …

[PDF][PDF] Improvement in the Design and Methods of Calculation of Parameters of Vibration Multifaceted Gridirons of Natural Fibre Cleaners

S Shukhratov, R Milašius, K Gafurov… - Fibres & Textiles in …, 2021 - bibliotekanauki.pl
The article outlines the operating concept of the recommended multifaceted gridirons on an
elastic bearing support, analyses the excursion of the gridiron, justifies the characteristics …

[HTML][HTML] Physico-chemical/mechanical properties of treated groundnut shell fibre; response surface methodology and artificial neural network performance evaluation …

K Nwosu-Obieogu, GW Dzarma, G Christian… - Cleaner Waste …, 2022 - Elsevier
abstract The difficulties associated with forecasting mechanical behaviours of fibres based
on the theoretical method is a big threat to precise design when dealing with complex …

Application of Artificial Intelligence Methods to Predict Cotton Production in Turkey

N Mıkaıl, MF Baran - Türk Tarım ve Doğa Bilimleri Dergisi, 2021 - dergipark.org.tr
Farmers are always curious about the factors affecting yield in plant production. Determining
these factors can give information about the yield in the future. Reliability of information is …

[PDF][PDF] Application of Artificial Intelligence Methods to Predict Cotton Production in Turkey

NMMF BARAN - 2021 - academia.edu
Farmers are always curious about the factors affecting yield in plant production. Determining
these factors can give information about the yield in the future. Reliability of information is …

[PDF][PDF] Application of Artificial Neural Networks to Predict Cotton Production: A Case Study in Diyarbakır Province, Turkey

N Mikail, MF BARAN - 2020 - academia.edu
Cultivators are always curious about the factors affecting yield in plant production.
Determining these factors can provide information about the yield in the future. The reliability …