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Research Articles

A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production

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Pages 4220-4236 | Received 18 Apr 2021, Accepted 10 Nov 2021, Published online: 10 Jan 2022

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Articles from other publishers (6)

Chuqiao Xu, Linchen Xu, Shuxuan Zhao, Lianqing Yu & Chengjun Zhang. (2024) Complementary knowledge augmented multimodal learning method for yarn quality soft sensing. Engineering Applications of Artificial Intelligence 133, pages 108057.
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Imane El Malki, François Jauberteau, Amine Laghrib & Mourad Nachaoui. (2024) A bilevel learning approach for nonlocal image deblurring with variable weights parameter. Digital Signal Processing 149, pages 104505.
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R. Felista Sugirtha Lizy, Ibrahim M. H.Chinnadurai Manthiramoorthy. 2024. Emerging Technologies and Security in Cloud Computing. Emerging Technologies and Security in Cloud Computing 422 450 .
Zijun Qiu, Jingan Wang & Weidong Gao. (2024) A Computer-Vision-Based Nondestructive Hairiness Measurement System on Yarn Cone Transportation Line. IEEE Transactions on Instrumentation and Measurement 73, pages 1-13.
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Mingrui Guo, Weidong Gao & Jingan Wang. (2023) Online Measurement of Sizing Yarn Hairiness Based on Computer Vision. Fibers and Polymers 24:4, pages 1539-1552.
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Menglei Wang, Jingan Wang, Weidong Gao & Mingrui Guo. (2023) One-dimensional convolutional neural network with data characterization measurement for cotton yarn quality prediction. Cellulose 30:6, pages 4025-4039.
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