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Zeng, D., Cao, Z., & Neill, D. B. (2021). Artificial intelligence-enabled public health surveillance-from local detection to global epidemic monitoring and control. Artificial Intelligence in Medicine, 437-453.Search in Google Scholar
O’Meara, S. (2021). Technology feature | small images, big picture: artificial intelligence to revolutionize microscopy. Science, 372(6540), 425-425.Search in Google Scholar
Lin, A. L., Chen, W. C., & Hong, J. C. (2021). Electronic health record data mining for artificial intelligence healthcare. Artificial Intelligence in Medicine.Search in Google Scholar
Qiao, S., & Chen, M. (2021). Application of gabor image recognition technology in intelligent clothing design. Advances in Mathematical Physics, 2021.Search in Google Scholar
Pons-Moll, G., Pujades, S., Sonny, H. U., & Black, M. J. (2017). Clothcap: seamless 4d clothing capture and retargeting. Acm Transactions on Graphics, 36(4CD), 1-15.Search in Google Scholar
Chen, X., Gao, Y. T., Tian, B., & Sun, G. (2021). Research on production management and optimization of multisensor intelligent clothing in 5g era. Journal of Sensors(Pt.10), 2021.Search in Google Scholar
Wang, M. B. X., Deshan Cheng Deshan ChengState Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan , P.R. ChinaMore by Deshan Cheng, Cheng, D. , Cheng, M. B. D., & ,and, et al. (2023). Scalable fabrication of an mxene/cotton/spandex yarn for intelligent wearable applications. ACS applied materials & interfaces.Search in Google Scholar
Papachristou, A. B. N. (2021). Machine learning for clothing manufacture as a mean to respond quicker and better to the demands of clothing brands: a greek case study. The International Journal of Advanced Manufacturing Technology, 115(3).Search in Google Scholar
Wang, W., Wei, T., Zhang, Y., & Wang, Y. (2019). A method of intelligent product design cue construction based on customer touchpoint correlation analysis and positive creativity theory:. Advances in Mechanical Engineering, 11(1), 56-90.Search in Google Scholar
Wu, D., Li, Z., Zhou, J., Gan, J., Gao, W., & Li, H. (2022). Clothing attribute recognition via a holistic relation network. International journal of intelligent systems.Search in Google Scholar
Zhang, H. (2021). Main color extraction algorithm and its application in clothing image retrieval. Journal of Intelligent and Fuzzy Systems(1), 1-8.Search in Google Scholar
Wang, L., Shi, B., Zhao, H., Qi, X., Chen, J., & Li, J., et al. (2022). 3d-printed parahydrophobic functional textile with a hierarchical nanomicroscale structure. ACS nano, 16(10), 16645-16654.Search in Google Scholar
Yu, M., & Cui, R. (2021). Application of digital mining facing information fusion technology in the field of national costume culture design. Mobile Information Systems.Search in Google Scholar
Rogale, D. (2021). Special issue “advanced materials for clothing and textile engineering”. Materials.Search in Google Scholar
Xu, Q., Liu, H., Liu, Y., & Wu, S. (2021). Innovative design of intangible cultural heritage elements in fashion design based on interactive evolutionary computation. Mathematical Problems in Engineering.Search in Google Scholar
Fu, Y., Guo, T., & Zhao, X. (2021). Intelligent splicing method of virtual reality lingnan cultural heritage panorama based on automatic machine learning. Mobile Information Systems.Search in Google Scholar
Ismail, Gölgeci, Justyna, Swiatowiec-Szczepanska, Konrad, & Raczkowski. (2016). How does cultural intelligence influence the relationships between potential and realised absorptive capacity and innovativeness? evidence from poland. Technology Analysis & Strategic Management.Search in Google Scholar
Tubadji, A., Denney, T., & Webber, D. J. (2021). Cultural relativity in consumers’ rates of adoption of artificial intelligence. Economic Inquiry.Search in Google Scholar
Alam, G., Ihsanullah, D., Naushad, M., & Sillanp, M. (2021). Applications of artificial intelligence in water treatment for the optimization and automation of the adsorption process: recent advances and prospects. Chemical Engineering Journal, 427, 130011.Search in Google Scholar
Furini, M., Gaggi, O., Mirri, S., Montangero, M., Pelle, E., & Poggi, F., et al. (2022). Digital twins and artificial intelligence as pillars of personalized learning models. Communications of the ACM(4), 65.Search in Google Scholar
Serrano-Luján, L., Toledo, C., Colmenar, J. M., Abad, J., & Urbina, A. (2022). Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms. Applied Energy, 315.Search in Google Scholar
Gu, W., Li, F., Gao, Q., Zhuo, C., & Lu, Z. (2022). Design of double teeth metallic card clothing for the high-efficiency carding process by computational fluid dynamics. Textile research journal.Search in Google Scholar
Yufeng, X., Dongliang, Z., & Guopeng, Q. (2021). Application of nanomaterials in safety intelligent clothing design. Integrated Ferroelectrics(216-), 216.Search in Google Scholar
Qiu, J., & Ma, L. (2021). Fusion mode and style based on artificial intelligence and clothing design. Mathematical Problems in Engineering, 2021.Search in Google Scholar
Hobbs, R. (2013). Empress eugénie and the arts: politics and visual culture in the nineteenth century. French Studies.Search in Google Scholar
Chen, & Hua, J. C. (2014). Introduction to the special issue: aesthetics@media, arts & culture. Empirical Studies of the Arts, 32(1), 1-3.Search in Google Scholar
Bendegem, J. P. V., & Kerkhove, B. V. (2020). Emily rolfe grosholz.* great circles: the transits of mathematics and poetry. mathematics, culture and the arts. springer, 2018. pp. xii+274. isbn: 978-3-319-98230-4 (hbk); 978-3-319-98231-1 (e-book). doi: 10.1007/978-3-319-98231-1. Philosophia Mathematica (3), 28.Search in Google Scholar