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Research Article

Analyzing the Effects of Plasma Treatment Process Parameters on Fading of Cotton Fabrics Dyed with Two-Color Mix Dyes Using Bayesian Regulated Neural Networks (BRNNs)

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References

  • Atav, R., M. F. Yüksel, S. Özkaya, and B. Buğdaycı. 2022. The use of ozone technology for color stripping and obtaining vintage effect on reactive dyed cotton fabrics. Journal of Natural Fibers 19 (13):6648–17. doi:10.1080/15440478.2021.1929653.
  • Brinkworth, B. 1972. Interpretation of the Kubelka-Munk coefficients in reflection theory. Applied Optics 11 (6):1434–35. doi:10.1364/AO.11.001434.
  • Canbolat, S., M. Kilinc, and D. Kut. 2015. The investigation of the effects of plasma treatment on the dyeing properties of polyester/viscose nonwoven fabrics. Procedia-Social and Behavioral Sciences 195:2143–51. doi:10.1016/j.sbspro.2015.06.278.
  • Chai, T., and R. R. Draxler. 2014. Root mean square error (RMSE) or mean absolute error (MAE)?–arguments against avoiding RMSE in the literature. Geoscientific Model Development 7 (3):1247–50. doi:10.5194/gmd-7-1247-2014.
  • Cheung, H. F. C. 2018. Non-aqueous color fading effect on cotton with industrial application. Ph.D. Doctoral dissertation, Institute of Textiles and Clothing, The Hong Kong Polytechnic University.
  • Choudhury, T. A., C. Berndt, and Z. Man. 2015. Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process. Engineering Applications of Artificial Intelligence 45:57–70. doi:10.1016/j.engappai.2015.06.015.
  • Dayioglu, H., D. Kut, N. Merdan, and S. Canbolat. 2015. The effect of dyeing properties of fixing agent and plasma treatment on silk fabric dyed with natural dye extract obtained from Sambucus ebulus L. plant. Procedia-Social and Behavioral Sciences 195:1609–17. doi:10.1016/j.sbspro.2015.06.201.
  • Dayioğlu, H., N. Merdan, S. Eyüpoğlu, M. Kilinc, and K. Dilek. 2016. The effect of plasma treatment on the dyeability of silk fabric by using phytolacca decandra L. natural dye extract. Textile & Apparel 26 (3):262–69.
  • Doan, C. D., and S. Y. Liong. 2004. Generalization for multilayer neural network bayesian regularization or early stopping. Proceedings of Asia Pacific association of hydrology and water resources 2nd conference, Singapore, July 5-8.
  • Domonkos, M., and P. Tichá. 2023. Low-temperature atmospheric pressure plasma treatment in the polymer and textile industry. IEEE Transactions on Plasma Science, 1–11. doi:10.1109/TPS.2023.3235266.
  • Eyupoglu, C., S. Eyupoglu, and N. Merdan. 2021. A multilayer perceptron artificial neural network model for estimation of ultraviolet protection properties of polyester microfiber fabric. The Journal of the Textile Institute 112 (9):1403–16. doi:10.1080/00405000.2020.1819000.
  • Eyupoglu, C., S. Eyupoglu, and N. Merdan. 2022. Investigation of dyeing properties of mohair fiber dyed with natural dyes obtained from candelariella reflexa. Journal of Natural Fibers 19 (16):12829–48. doi:10.1080/15440478.2022.2076273.
  • Eyupoglu, S., C. Karabulut, S. E. Gül, A. T. Esener, F. Yılmaz, M. Ahrari, C. Eyupoglu, and D. Kut. 2022. The effect of oxygen plasma treatment on wrinkle resistance of cellulose acetate based fabric. Journal of Natural Fibers 19 (17):15653–62. doi:10.1080/15440478.2022.2131686.
  • Farooq, A., F. Irshad, R. Azeemi, and N. Iqbal. 2021. Prognosticating the shade change after softener application using artificial neural networks. AUTEX Research Journal 21 (1):79–84. doi:10.2478/aut-2020-0019.
  • Fushiki, T. 2011. Estimation of prediction error by using K-fold cross-validation. Statistics and Computing 21 (2):137–46. doi:10.1007/s11222-009-9153-8.
  • Gadekar, M. R., and M. M. Ahammed. 2019. Modelling dye removal by adsorption onto water treatment residuals using combined response surface methodology-artificial neural network approach. Journal of Environmental Management 231:241–48. doi:10.1016/j.jenvman.2018.10.017.
  • Haji, A., and P. Payvandy. 2020. Application of ANN and ANFIS in prediction of color strength of plasma-treated wool yarns dyed with a natural colorant. Pigment & Resin Technology 49 (3):171–80. doi:10.1108/PRT-10-2019-0089.
  • Haque, A. N. M. A., and M. Naebe. 2023. Zero-water discharge and rapid natural dyeing of wool by plasma-assisted spray-dyeing. Journal of Cleaner Production 402:1–10. doi:10.1016/j.jclepro.2023.136807.
  • Hunt, R. W. G., and M. R. Pointer. 2011. Relations between colour stimuli. In Measuring colour, ed. M. A. Kriss, 41–57. United Kingdom: John Wiley & Sons.
  • Ibrahim, N. A., and B. M. Eid. 2020. Plasma treatment technology for surface modification and functionalization of cellulosic fabrics. In Advances in functional finishing of textiles, ed. M. Shahid and R. Adivarekar, 275–87. Singapore: Springer.
  • Ibrahim, N., E. El-Zairy, S. Barakat, and B. M. Eid. 2022. Eco-friendly surface modification and multifunctionalization of cotton denim fabric. Egyptian Journal of Chemistry 65 (13):39–51. doi:10.21608/EJCHEM.2022.147161.6382.
  • Ibrahim, N. A., M. M. Hashem, M. A. Eid, R. Refai, M. El‐Hossamy, and B. M. Eid. 2010. Eco‐friendly plasma treatment of linen‐containing fabrics. The Journal of the Textile Institute 101 (12):1035–49. doi:10.1080/00405000903205467.
  • Iooss, B., and C. Prieur. 2019. Shapley effects for sensitivity analysis with correlated inputs: Comparisons with Sobol’indices, numerical estimation and applications. International Journal for Uncertainty Quantification 9 (5):493–514. doi:10.1615/Int.J.UncertaintyQuantification.2019028372.
  • Jelil, R. A. 2015. A review of low-temperature plasma treatment of textile materials. Journal of Materials Science 50 (18):5913–43. doi:10.1007/s10853-015-9152-4.
  • Kan, C. W., H. F. Cheung, and Q. Chan. 2016. A study of plasma-induced ozone treatment on the colour fading of dyed cotton. Journal of Cleaner Production 112 (4):3514–24. doi:10.1016/j.jclepro.2015.10.100.
  • Kan, C. W., H. F. Cheung, and F. M. Kooh. 2017. An investigation of color fading of sulfur-dyed cotton fabric by plasma treatment. Fibers and Polymers 18 (4):767–72. doi:10.1007/s12221-017-6934-0.
  • Kayri, M. 2016. Predictive abilities of Bayesian regularization and Levenberg–Marquardt algorithms in artificial neural networks: A comparative empirical study on social data. Mathematical and Computational Applications 21 (2):20. doi:10.3390/mca21020020.
  • Liu, Y. H., C. K. M. To, M. K. Ngai, C. W. Kan, and H. Chua. 2019. Atmospheric pressure plasma‐induced decolorisation of cotton knitted fabric dyed with reactive dye. Coloration Technology 135 (6):516–28. doi:10.1111/cote.12441.
  • Minaker, S. A., R. H. Mason, and D. R. Chow. 2021. Optimizing color performance of the ngenuity 3-dimensional visualization system. Ophthalmology Science 1 (3):1–9. doi:10.1016/j.xops.2021.100054.
  • Mitrović, T., M. Ristić, A. Perić Grujić, and S. Lazović. 2020. ANN prediction of the efficiency of the decolourisation of organic dyes in wastewater by plasma needle. Journal of the Serbian Chemical Society 85 (6):831–44. doi:10.2298/JSC191004002M.
  • Omerogullari Basyigit, Z., C. Eyupoglu, S. Eyupoglu, and N. Merdan. 2023. Investigation and feed‐forward neural network‐based estimation of dyeing properties of air plasma treated wool fabric dyed with natural dye obtained from Hibiscus Sabdariffa. Coloration Technology 1–13. doi:10.1111/cote.12665.
  • Ostertagova, E., and O. Ostertag. 2012. Forecasting using simple exponential smoothing method. Acta Electrotechnica et Informatica 12 (3):62–66. doi:10.2478/v10198-012-0034-2.
  • Özkan, İ., P. D. Baykal, and H. Özdemir. 2018. Effects of intermingled yarn surface characteristics on knitted fabric’s color parameters. Tekstil ve Mühendis 25 (112):327–34. doi:10.7216/1300759920182511206.
  • Paul, R. 2015. Denim and jeans: an overview. In Denim, ed. R. Paul, 1–11. United Kingdom: Woodhead Publishing.
  • Peran, J., and S. Ercegović Ražić. 2020. Application of atmospheric pressure plasma technology for textile surface modification. Textile Research Journal 90 (9–10):1174–97. doi:10.1177/0040517519883954.
  • Rodriguez, J. D., A. Perez, and J. A. Lozano. 2009. Sensitivity analysis of k-fold cross validation in prediction error estimation. IEEE Transactions on Pattern Analysis & Machine Intelligence 32 (3):569–75. doi:10.1109/TPAMI.2009.187.
  • Samanta, K., S. Basak, and S. Chattopadhyay. 2017. Environmentally friendly denim processing using water-free technologies. In Sustainability in denim, ed. K. Samanta, S. Basak, and S. Chattopadhyay, 319–48. United Kingdom: Woodhead Publishing.
  • Shaffer, K. J., T. M. McLean, M. R. Waterland, M. Wenzel, and P. G. Plieger. 2012. Structural characterisation of difluoro-boron chelates of quino [7, 8-h] quinoline. Inorganica chimica acta 380:278–83. doi:10.1016/j.ica.2011.09.046.
  • Srikrishnan, M., and S. Jyoshitaa. 2022. An overview of preparation, processes for sustainable denim manufacturing. In Sustainable approaches in textiles and fashion, ed. S. M. Subramanian, 119–31. Singapore: Springer.
  • Tang, A. Y. L., C. H. Lee, Y. Wang, and C. W. Kan. 2018. Dyeing properties of cotton with reactive dye in nonane nonaqueous reverse micelle system. ACS Omega 3 (3):2812–19. doi:10.1021/acsomega.8b00032.
  • Yadav, S., and S. Shukla. 2016. Analysis of k-fold cross-validation over hold-out validation on colossal datasets for quality classification. 2016 IEEE 6th International Advance Computing Conference (IACC), Bhimavaram, India, Feb 27-28
  • Zhang, Y., and Y. Yang. 2015. Cross-validation for selecting a model selection procedure. Journal of Econometrics 187 (1):95–112. doi:10.1016/j.jeconom.2015.02.006.
  • Zhang, J., Z. Zheng, J. Zhang, and J. Li. 2008. “Low-Temperature Plasma-Induced Degradation of Aqueous 2, 4-Dinitrophenol.” Journal of Hazardous Materials 154 (1–3): 506–512. doi:10.1016/j.jhazmat.2007.10.053.
  • Zille, A., F. R. Oliveira, and A. P. Souto. 2015. Plasma treatment in textile industry. Plasma Processes and Polymers 12 (2):98–131. doi:10.1002/ppap.201400052.