Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda-Reference-Cited by-同舟云学术

Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda

Published:2022-08 Issue: Volume:200 Page:117000
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Arora Sanchi,Majumdar Abhijit

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference149 articles.

1. LIS journals scientific impact and subject categorization: A comparison between Web of Science and Scopus;Abrizah;Scientometrics,2013

2. Using artificial neural networks with graphical user interface to predict the strength of carded cotton yarns;Ahmad;The Journal of The Textile Institute,2016

3. Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model;Amindoust;The Journal of The Textile Institute,2016

4. Investigation on air permeability of finished stretch plain knitted fabrics. I. Predicting air permeability using artificial neural networks;Baghdadi;Fibers and Polymers,2016

5. The impact of task phrasing on the choice of search keywords and on the search process and success;Barsky;Journal of the American Society for Information Science and Technology,2012

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multilinear principal component analysis-based tensor decomposition for fabric weave pattern recognition from high-dimensional streaming data;Pattern Analysis and Applications;2024-08-13

2. AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability;Journal of the Knowledge Economy;2024-06-13

3. Grey Wolf optimizer for efficient feature selection in robotic systems;Dimensional Optical Metrology and Inspection for Practical Applications XIII;2024-06-07

4. Guiding Urban Decision-Making: A Study on Recommender Systems in Smart Cities;Electronics;2024-05-31

5. Industry 4.0 in the Perspective of Supply Chain Management: Evolution and Future Research Agenda;Engineering Management Journal;2024-05-13