A CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR CODED APERTURE IMAGING RECONTRUCTION
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wenrui Xu Harbin Engineering University, Harbin,Fundamental Science on Nuclear Safety and Simulation Technology Laboratory
ModeI
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The Shortcomings and Improvement of Normal Time Series Prediction Model LSTM in reactor accident Prediction
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
CUI Sihai Xi'an Jiaotong University
ModeI
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Nuclear Reactor Power Control Using Adaptive Fuzzy Fractional PID Controller Based on the Time-Space Fractional Neutron Point Kinetics Model
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Sun Hetao Harbin Engineering University
OperI
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Research on Signal Enhancement of Rolling Bearings Based on Improved SR and LMD
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Wu Shuaishuai 哈尔滨工程大学
OperII
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Learning the dynamics of un-observable fields from out-core measurements of simple fields using Supervised Learning
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Loi Lorenzo Politecnico di Milano
暂无会场信息
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Visualization Technique for 3D Bubble Reconstruction and Surface Area Deduction for Interfacial Transport Analysis in Fuel Rod Bundle Subchannel
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Abusah Johnson Lorlornyo Harbin Engineering University
NuclII
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Research on working condition recognition method for nuclear power plant based on CNN-LSTM
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Tan Canyi Harbin Engineering University
ModeII
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Enhanced bidirectional rapidly exploring random tree star (Bi-RRT*) algorithm for optimal pathfinding in complex environments with radiation dose minimization
International Symposium on Symbiotic Nuclear Power (ISSNP2024)
Adibeli Justina Onyinyechukwu Harbin Engineering University
暂无会场信息
仅限参会人 口头报告
