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Journal of Nuclear Science and Technology Volume 58, 2021 - Issue 7
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Article

Implementation of surface crack detection method for nuclear fuel pellets guided by convolution neural network

Bin ZhangSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4078-9766View further author information
ORCID Icon,
Yanjie MiaoSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaORCID Iconhttps://orcid.org/0000-0002-2551-0635View further author information
ORCID Icon,
Yongzhi TianSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaView further author information
,
Wenjie ZhangSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaView further author information
,
Ge WuSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaView further author information
,
Xinmiao WangSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaView further author information
&
Chaoying ZhangSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou, ChinaView further author information
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Pages 787-796 | Received 03 Aug 2020, Accepted 20 Dec 2020, Published online: 04 Jan 2021

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Ming-Chuan Chiu & Chia-Jung Wei. (2024) Integrating DeblurGAN and CNN to improve the accuracy of motion blur X-Ray image classification. Journal of Nuclear Science and Technology 61:3, pages 403-416.
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Articles from other publishers (6)

Lu Zhang & Zhaohui Liu. (2024) Designing an event management system for campus football using 3D images and machine vision. Signal, Image and Video Processing 18:3, pages 2965-2974.
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Bozhou Zhuang, Anna Arcaro, Bora Gencturk & Roger Ghanem. (2024) Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister. Engineering Applications of Artificial Intelligence 128, pages 107484.
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E. V Vlasov, A. V Beloborodov, P. S Zav'yalov & D. G Syretskiy. (2023) Control of the appearance of fuel pellets ends surfaces in a conveyor production. Дефектоскопия:7, pages 33-43.
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E. V. Vlasov, A. V. Beloborodov, P. S. Zav’yalov & D. G. Syretskii. (2023) Monitoring the Appearance of the End Faces of Fuel Pellets under Conditions of Conveyor Production. Russian Journal of Nondestructive Testing 59:7, pages 815-825.
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Abhaya Pal Singh & Pallavi Srivastava. Time domain convolution operation: A student-centric tutorial with experimental validation. Time domain convolution operation: A student-centric tutorial with experimental validation.
Bing Dong, Kang Yang, Wei Zhang, Junlian Yin & Dezhong Wang. (2022) An Improved Method for PWR Fuel Failure Detection Using Cascade-forward Neural Network With Decision Tree. Frontiers in Energy Research 10.
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