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For: Shin S, Park J, Yoon D, Han S, Kang T. Markov chain-based mass estimation method for loose part monitoring system and its performance. Nuclear Engineering and Technology 2017;49:1555-62. [DOI: 10.1016/j.net.2017.05.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
Mass estimation of loose parts based on virtual experiment. PROGRESS IN NUCLEAR ENERGY 2023. [DOI: 10.1016/j.pnucene.2023.104626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
2
Moon S, Han S, Kang T, Han S, Kim K, Yu Y, Eom J. Impact parameter prediction of a simulated metallic loose part using convolutional neural network. NUCLEAR ENGINEERING AND TECHNOLOGY 2021. [DOI: 10.1016/j.net.2020.10.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
3
Model-based localization and mass-estimation methodology of metallic loose parts. NUCLEAR ENGINEERING AND TECHNOLOGY 2020. [DOI: 10.1016/j.net.2019.10.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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