期刊名：Textiles

期刊主页：https://www.mdpi.com/journal/textiles

本清单旨在整理并收录“人工智能与数字技术在纺织产业中的创新应用”相关的优秀文献，希望能为相关领域学者提供新的思路和参考，欢迎阅读。

Advancing Circular Economy Practices Using AI-Powered Colour Classification of Textile Fabrics: Overview and Roadmap

人工智能驱动的纺织品颜色分类技术推进循环经济发展：概述和路线图

https://www.mdpi.com/2673-7248/5/4/53

Furferi, R. Advancing Circular Economy Practices Using AI-Powered Colour Classification of Textile Fabrics: Overview and Roadmap. Textiles 2025, 5, 53. https://doi.org/10.3390/textiles5040053

Artificial Intelligence Driving Innovation in Textile Defect Detection

人工智能驱动纺织品疵点检测领域的创新

http://www.mdpi.com/2673-7248/5/2/12

Ozek, A.; Seckin, M.; Demircioglu, P.; Bogrekci, I. Artificial Intelligence Driving Innovation in Textile Defect Detection. Textiles 2025, 5, 12. https://doi.org/10.3390/textiles5020012

Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology

智能精准纺织品投放：融合柔性手指和机器视觉技术的新策略

http://www.mdpi.com/2673-7248/5/3/34

Shen, J.; Ramírez-Gómez, Á.; Wang, J.; Zhang, F.; Li, Y. Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology. Textiles 2025, 5, 34. https://doi.org/10.3390/textiles5030034

Multimodal Feature Inputs Enable Improved Automated Textile Identification

多模态特征输入提高纺织品自动识别的准确性

http://www.mdpi.com/2673-7248/5/3/31

Enow Gnoupa, M.G.; Augousti, A.T.; Duran, O.; Lanets, O.; Liaskovska, S. Multimodal Feature Inputs Enable Improved Automated Textile Identification. Textiles 2025, 5, 31. https://doi.org/10.3390/textiles5030031

Digital Twins for a Sustainable Textile Industry: A Critical Analysis of Unexplored Applications and Future Directions

数字孪生技术助力纺织产业可持续发展：对未开发应用及未来方向的深入分析

http://www.mdpi.com/2673-7248/5/4/49

Angelova, R.A. Digital Twins for a Sustainable Textile Industry: A Critical Analysis of Unexplored Applications and Future Directions. Textiles 2025, 5, 49. https://doi.org/10.3390/textiles5040049

Smartphone-Based Digital Image Processing for Fabric Drape Assessment

智能手机的数字图像处理技术在织物悬垂性评估中的应用

http://www.mdpi.com/2673-7248/5/4/63

Toshikj, E.; Mladenovikj, N. Smartphone-Based Digital Image Processing for Fabric Drape Assessment. Textiles 2025, 5, 63. https://doi.org/10.3390/textiles5040063

Productivity Improvement Model in the Garment Industry: Application of Standardized Work and Poka Yoke with Artificial Vision

服装行业生产力提升模型：标准化作业与防错法结合人工智能视觉的应用

http://www.mdpi.com/2673-7248/5/4/64

Vergara, M.Á.; Villalobos, M.B.; Castro-Rangel, P.; Alvarez, J.C.; Lepore, R. Productivity Improvement Model in the Garment Industry: Application of Standardized Work and Poka Yoke with Artificial Vision. Textiles 2025, 5, 64. https://doi.org/10.3390/textiles5040064

Autonomous Sewing Technology and System: A New Strategy by Integrating Soft Fingers and Machine Vision Technology

自主缝纫技术与系统：融合柔性手指和机器视觉技术的新策略

http://www.mdpi.com/2673-7248/5/4/45

Shen, J.; Ramírez-Gómez, Á.; Wang, J.; Zhang, F. Autonomous Sewing Technology and System: A New Strategy by Integrating Soft Fingers and Machine Vision Technology. Textiles 2025, 5, 45. https://doi.org/10.3390/textiles5040045

Research on the Construction of a Full-Color-Gamut Color Spinning Method and Neural Network Color Prediction System

全色域色纺方法及神经网络颜色预测系统的研究

http://www.mdpi.com/2673-7248/5/4/55

Zhu, W.; Xue, Y.; Chen, Y.; Cui, P. Research on the Construction of a Full-Color-Gamut Color Spinning Method and Neural Network Color Prediction System. Textiles 2025, 5, 55. https://doi.org/10.3390/textiles5040055

Artificial-Neural-Network-Based Predicted Model for Seam Strength of Five-Pocket Denim Jeans: A Review

基于人工神经网络的五袋款牛仔裤缝合强度预测模型：综述

http://www.mdpi.com/2673-7248/4/2/12

Zulfiqar, A.; Manzoor, T.; Ijaz, M.B.; Nawaz, H.H.; Ahmed, F.; Akhtar, S.; Iftikhar, F.; Nawab, Y.; Khan, M.Q.; Umar, M. Artificial-Neural-Network-Based Predicted Model for Seam Strength of Five-Pocket Denim Jeans: A Review. Textiles 2024, 4, 183-217. https://doi.org/10.3390/textiles4020012

Textiles 期刊介绍

主编：Prof. Dr. Philippe Boisse, Université de Lyon, France

Textiles (ISSN 2673-7248) 创刊于2021年，是一个国际化、经同行评审的开放获取期刊。2024年影响因子为4.9，在JCR纺织材料学科 (Materials Science, Textiles) 中位列Q1分区 (排名第2/31)。该期刊涵盖但不限于以下研究方向：纺织材料、纺织和纤维基复合材料、功能纺织品、智能纺织品、生物纺织品、纺织品制造与加工、纺织技术与管理等。目前，Textiles 期刊已被Scopus、ESCI (Web of Science)、DOAJ、CNKI和EBSCO等数据库收录。