Visual Analysis of the Evolution of Traditional Chinese Ethnic Clothing Design Styles Based on Big Data and Artificial Intelligence

[1] Nini, S. (2019). Technique preparation of woman’s xhoke: an important element of albanian folk costumes. European Journal of Social Sciences. Search in Google Scholar

[2] Raza, S. H., & Zaman, U. (2021). Effect of cultural distinctiveness and perception of digital advertising appeals on online purchase intention of clothing brands: moderation of gender egalitarianism. Information (Switzerland)(2). Search in Google Scholar

[3] Sen, G., & Sener-Pedgley, B. (2019). Enriching the aesthetics of mobile music player interactions through the use of personal clothing and accessories as interfaces. METU Journal of the Faculty of Architecture,36(2), 141-164. Search in Google Scholar

[4] Feng, L., Ma, L., & Ng, G. (2021). Personalized customization system solution using augmented reality technology. MATEC Web of Conferences, 336, 05017. Search in Google Scholar

[5] Imran, Z. A. (2021). Investigating financial opportunities for traditional clothing industry in south asia based on an analysis of internationally diversified portfolio using arch and garch models. Industria Textilă. Search in Google Scholar

[6] Huang, Q., Deng, M., & Li, J. (2022). Effects of ambient temperature step changes on the heat storage and release in thermal protective clothing:. Textile Research Journal, 92(21-22), 4342-4356. Search in Google Scholar

[7] Simic, Kristina, Zamboni, Ivana, Fazinic, & Stjepko, et al. (2018). Comparative analysis of textile metal threads from liturgical vestments and folk costumes in croatia. Nuclear Instruments & Methods in Physics Research. Search in Google Scholar

[8] Nguyen-Viet, T. A., & Imai, M. (2018). The effects of ethnic chinese minority on vietnam’s regional economic development in the post-vietnam war period. Journal of Development Studies, 54. Search in Google Scholar

[9] Othman, B., Huang, Z., Xi, J., & Ramsey, T. (2020). Effect of service quality on service value and customer retention for clothing store brands in china. Tekstilec,63(4), 242-255. Search in Google Scholar

[10] Arya, N., Singh, V., & Chauhan, N. (2018). Study on existing clothing practices of rural elderly women of hisar. Anthropologist, 34(1-3), 48-52. Search in Google Scholar

[11] Bodner, R. (2018). The educative formation of folk costumes. collecting, exhibiting, and renewal at the tyrolean folk art museum and in the work of gertrud pesendorfer (until 1938). Osterreichische Zeitschrift fur Volkskunde, 72(1), 39-83. Search in Google Scholar

[12] Lilja, K., & Jonsson, P. (2020). Inadequate supply and increasing demand for textiles and clothing: second‐hand trade at auctions as an alternative source of consumer goods in Sweden, 1830–1900. The Economic History Review, 73(1), 78-105. Search in Google Scholar

[13] Quaile, S. (2023). Imitation and piracy in Paisley shawl design, 1805–1870.Journal of Design History.36(1), 1-16. Search in Google Scholar

[14] Adán Medina, Juana Isabel Méndez, Ponce, P., Peffer, T., Meier, A., & Molina, A. (2022). Using deep learning in real-time for clothing classification with connected thermostats. Energies,15 Search in Google Scholar

[15] Junejo, I. N. (2021). Multi-branch gabor wavelet layers for pedestrian attribute recognition. IEEE Access,PP(99), 1-1. Search in Google Scholar

[16] Xu, J., Yan, C., Su, Y., & Liu, Y. (2020). Analysis of high-rise building safety detection methods based on big data and artificial intelligence. International Journal of Distributed Sensor Networks,16. Search in Google Scholar

[17] Lupu, C., Rodrigues, A. I., Stoleriu, O. M., & Gallarza, M. G. (2020). A textual and visual analysis of the intrinsic value dimensions of romania: towards a sustainable destination brand. Sustainability,13. Search in Google Scholar

[18] Sun, Y., Weng, Y., Luo, B., Li, G., Tao, B., Jiang, D., & Chen, D. (2023). Gesture recognition algorithm based on multi‐scale feature fusion in RGB‐D images. IET Image Processing, 17(4), 1280-1290. Search in Google Scholar

[19] Zou, Y., Pintong, S., Shen, T., & Luh, D. B. (2022). Evaluation and trend of fashion design research: visualization analysis based on citespace. Fashion and Textiles,9(1), 1-22. Search in Google Scholar

[20] Zheng, C. (2020). Comparisons of the city brand influence of global cities: word-embedding based semantic mining and clustering analysis on the big data of gdelt global news knowledge graph. Sustainability,12. Search in Google Scholar

[21] Rezaie, M., Seo, H. J., Ross, A. J., & Bunescu, R. C. (2020). Improving galaxy clustering measurements with deep learning: analysis of the decals dr7 data. Monthly Notices of the Royal Astronomical Society, 495(2), 1613-1640. Search in Google Scholar