Artificial intelligence-based precise prediction of anthropometric data for female garment pattern-making-Reference-Cited by-同舟云学术

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Artificial intelligence-based precise prediction of anthropometric data for female garment pattern-making

Published:2024-05-14 Issue: Volume: Page:1-9
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Huang Yuanjing¹,Shen Hong¹,Shi Yuyuan²,Yang Wenjing¹,Wang Wei¹,Wan Ruyu¹,Dodd Linzi³

Affiliation:

1. College of Biomass Science and Engineering, Sichuan University, Chengdu, China

2. Digital Textile Lab, School of Design, Northumbria University, Newcastle Upon Tyne, UK

3. Smart Materials & Surfaces Laboratory – e-Textiles Centre, Department of Mathematics, Physics and Electrical Engineering, Northumbria University, UK

Funder

Chinese Deyang City Industry-University-Research Cooperation Science and Technology Research and Development Project - Development of functional

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00405000.2024.2352183

Reference33 articles.

1. Atik, C., Kut, A., Birant, D., & Birol, S. (2022). Prediction of cloth waste using machine learning methods in the textile industry. 2022 9th International Conference on Electrical and Electronics Engineering, ICEEE 2022, pp.165–169.

2. Prediction of men's shirt pattern based on 3D body measurements

3. Sustainability in Fashion Business Operations

4. Logistic regression and artificial neural network classification models: a methodology review

5. Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry

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