FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation-Reference-Cited by-同舟云学术

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FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation

Published:2024-10 Issue: Volume:62 Page:102630
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Yang Dezhi,Zhang Jie,Liu Jian,Suo Xinyu,Chen Ning,Li Rong

Funder

Natural Science Foundation of Hunan Province

Science and Technology Program of Hunan Province

National Natural Science Foundation of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. A measurement method for density of HTR coated fuel particles porous pyrocarbon layer;Zhao;Nucl. Eng. Des.,2014

2. Layer thickness measurement of the TRISO-coated particle based on U-Net;Zhu;NDT E Int.,2021

3. Nuclear power plants with artificial intelligence in industry 4.0 era: Top-level design and current applications—A systemic review;Lu;IEEE Access,2020

4. Crush strength of silicon carbide coated TRISO particles: Influence of test method and process variables;Cromarty;J. Nucl. Mater.,2014

5. Nondestructive measurement of the coating thickness for simulated TRISO-coated fuel particles by using phase contrast X-ray radiography;Kim;Nucl. Eng. Des.,2008

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