Big data analytics for intelligent manufacturing systems: A review
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the
amount of data from manufacturing systems has been increasing rapidly. With massive …
amount of data from manufacturing systems has been increasing rapidly. With massive …
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 …
recent advances such as machine learning and neural networking in textile Industry has …
Classification of textile polymer composites: Recent trends and challenges
Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …
transformed the growth of industries especially automobiles, construction, aerospace and …
Machine learning an intelligent approach in process industries: A perspective and overview
The field of machine learning has proven to be a powerful approach in smart manufacturing
and processing in the chemical and process industries. This review provides a systematic …
and processing in the chemical and process industries. This review provides a systematic …
[HTML][HTML] A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts
Recent practices in textile supply chains (SC) show a growing concern for sustainability not
only in its economic dimension, but fundamentally in its environmental and social ones. One …
only in its economic dimension, but fundamentally in its environmental and social ones. One …
Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
In recent years, it became possible to use different methods for the analysis of mechanical
systems with the help of computers to learn like humans and by increasing their interaction …
systems with the help of computers to learn like humans and by increasing their interaction …
Zero-defect manufacturing in the textile industry: a review of current advances and challenges
Y Xu, R Sun, C Zhi, Z Liu, J Chen… - Textile Research …, 2025 - journals.sagepub.com
With the Fourth Industrial Revolution (Industry 4.0) and advances in digital technology, zero-
defect manufacturing (ZDM) has become a transformative and attractive concept that has the …
defect manufacturing (ZDM) has become a transformative and attractive concept that has the …
FabricNET: a microscopic image dataset of woven fabrics for predicting texture and weaving parameters through machine learning
This research presents an approach aimed at enhancing texture recognition and weaving
parameter estimation in the textile industry to align with sustainability goals and improve …
parameter estimation in the textile industry to align with sustainability goals and improve …
Develo** a data-driven operational guide for the texturized yarn production process: data mining and intelligence approach
S Sareminia, Z Ghayoumian… - International Journal of …, 2024 - emerald.com
Purpose The textile industry holds immense significance in the economy of any nation,
particularly in the production of synthetic yarn and fabrics. Consequently, the pursuit of …
particularly in the production of synthetic yarn and fabrics. Consequently, the pursuit of …
A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems
Time-series forecasting is crucial in the efficient operation and decision-making processes of
various industrial systems. Accurately predicting future trends is essential for optimizing …
various industrial systems. Accurately predicting future trends is essential for optimizing …