Research on Noise Reduction of Nuclear Power Plant System Measurement Data Based on EMD-SVD-WT Algorithm Strategy
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wang Zixiao Harbin Engineering University
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Numerical study on the Thermal Optimization Design of ERVC System based on Genetic Algorithm
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Yu jian Huang Xi'an Jiaotong University,School of Nuclear Science and Technology
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ARTIFICIAL INTELLIGENCE IN NUCLEAR ENGINEERING
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wang Bo Harbin Engineering University
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A review on machine learning techniques in the context of pulsating heat pipes
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Kumar Vivek The University of Tokyo
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Temperature Flied Rapid Estimation of Space Nuclear Thermionic Reactor Based on Reduced-Order Model
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wang Chenglong Xi'an Jiaotong University
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Constructing High-Fidelity Flow Field Data for a Pressurized Water Reactor Core Based on the Physics-Informed Neural Networks
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Zhang Huifang Xi'an Jiaotong University
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Data-driven sparse sensor placement for thermal-hydraulic experiments
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Xicheng Wang Royal Institute of Technology
NuclII
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Recent developments in Nuclear engineering using Machine learning to enhance the design, safety, and operational efficiency of nuclear reactors
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Kumar Prashant Indian Institute of Technology, Kharagpur
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Physics-based and Data-driven Digital Twins for 3D-temperature Evolution of FE Experiment
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Guang Hu Eindhoven University of Technology
EnerI
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