ReviewPolymers2021
Classification of Textile Polymer Composites: Recent Trends and Challenges.
Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 54 citations in OpenAlex.
- Fiber-Matrix Interface Engineering in Polymer Composites: Linking Surface Chemistry to Multiscale Mechanical Performance.Polymers · 2026Review
- Advanced Plasma-Modified Textile Polymer Materials for Building Energy Retrofit Technologies.Polymers · 2026Review
- Functionalization of Textile Materials for Advanced Engineering Applications.International journal of molecular sciences · 2026Review
- High-Accuracy Polymer Property Detection via Pareto-Optimized SMILES-Based Deep Learning.Polymers · 2025Article
- Precipitation Polymerization-Based Molecularly Imprinted Polymers: A Novel Approach for Transdermal Curcumin Delivery.Polymers · 2024Article
- Contemporary advances in polymer applications for sporting goods: fundamentals, properties, and applications.RSC advances · 2024Review
- A Multiscale Modeling and Experimental Study on the Tensile Strength of Plain-Woven Composites with Hybrid Bonded-Bolted Joints.Polymers · 2024Article
- A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of Textile Polymer Composite Materials.Polymers · 2024Article
- Quality Control of Carbon Look Components via Surface Defect Classification with Deep Neural Networks.Sensors (Basel, Switzerland) · 2023Article
- Post-Consumer Textile Waste Classification through Near-Infrared Spectroscopy, Using an Advanced Deep Learning Approach.Polymers · 2022Article
- Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model.Scientific reports · 2022Article
- Use of an Artificial Neural Network for Tensile Strength Prediction of Nano Titanium Dioxide Coated Cotton.Polymers · 2022Article
- Aerogels for Biomedical, Energy and Sensing Applications.Gels (Basel, Switzerland) · 2021Review
- Article
- Prediction of Methylene Blue Removal by Nano TiOPolymers · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Polymer based textile composites have gained much attention in recent years and gradually transformed the growth of industries especially automobiles, construction, aerospace and composites. The inclusion of natural polymeric fibres as reinforcement in carbon fibre reinforced composites manufacturing delineates an economic way, enhances their surface, structural and mechanical properties by providing better bonding conditions. Almost all textile-based products are associated with quality, price and consumer's satisfaction. Therefore, classification of textiles products and fibre reinforced polymer composites is a challenging task. This paper focuses on the classification of various problems in textile processes and fibre reinforced polymer composites by artificial neural networks, genetic algorithm and fuzzy logic. Moreover, their limitations associated with state-of-the-art processes and some relatively new and sequential classification methods are also proposed and discussed in detail in this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.