1. Improve quality and efficiency of textile process using data-driven machine learning in industry 4.0;Lee;Int. J. Technol. Eng. Stud.,2018
2. B. Tansan, A. Gökbulut, Ç. Targotay, T. Eren, Industry 4.0 in Turkey as an Imperative for Global Competitiveness Report, TÜSİAD, 2016. https://tusiad.org/tr/yayinlar/raporlar/item/8671-turkiyenin-sanayi-40-donusumu (accessed November 13, 2019).
3. Automated fabric defect detection—a review;Ngan;Image Vision Comput.,2011
4. P. Bandara, T. Bandara, T. Ranatunga, V. Vimarshana, S. Sooriyaarachchi, C.D. Silva, Automated Fabric Defect Detection, in: 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer), 2018, pp. 119–125. https://doi.org/10.1109/ICTER.2018.8615491.
5. Automatic fabric defect detection with a multi-scale convolutional denoising autoencoder network model;Mei;Sensors (Basel).,2018