2023

1

Ahmed, T., & Uddin, S. (2023). Textile weaving dataset for machine learning to predict rejection and production of a weaving factory. Data in Brief, 47, 108995.

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2

Islam, M. , Rahman, S. and Hoque, M. (2023) The Influence of Elimination of Roving Frame on Ring Spun Cotton Yarn Characteristics. World Journal of Engineering and Technology, 11, 10-19. doi: 10.4236/wjet.2023.111002.

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2022

1

Sara, U., Akter, M. and Uddin, M. (2019) Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study. Journal of Computer and Communications, 7, 8-18. doi: 10.4236/jcc.2019.73002.

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2

Akram, M. W., Mahmud, S. H., Bin Habib, M. A., Khan, A., & Mondal, B. V. (2022). Investigating the Influence of Yarn Density and Seam Construction on the Seam Performance of Woven Linen Fabric. Adv Res Text Eng, 7(1), 1067.

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3

Rahman, Sadikur, and Ahmed Jalal Uddin. "Unusable cotton spinning mill waste: A viable source of raw material in paper making." Heliyon 8.8 (2022): e10055.

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4

Islam, Md Ikramul, and Ahmed Jalal Uddin. "Enhancing the quality of elastane-cotton core yarn by compact spinning." Heliyon 8.6 (2022): e09562.

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5

Hoque, Mohammad Mohsin Ul, et al. "Predicting bursting strength of single jersey 100% cotton plain knitted fabrics using different machine learning models." World Journal of Advanced Research and Reviews 16.3 (2022): 283-293.

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6

Toufique Ahmed, Shihab Uddin,Textile weaving dataset for machine learning to predict rejection and production of a weaving factory, Data in Brief, Volume 47, 2023, 108995, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.108995.

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2021

1

Saha, S., Sayem, N. A., Khan, M. M. A., & Biswas, P. K. (2021). Overall performance of steam system used in garment industries in Bangladesh: a case study–based approach. Energy Efficiency, 14, 1-18.

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2019

1

Sara, U., Akter, M., & Uddin, M. S. (2019). Image quality assessment through FSIM, SSIM, MSE and PSNR—a comparative study. Journal of Computer and Communications, 7(3), 8-18.

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