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A framework of dynamic importance measure

Heo, Yunyeong , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2023-12-04 View14

A Framework of Quantification for Dynamic Probabilistic Safety Assessment

Heo, Yunyeong , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2023-10-26 View12

A human error detection system in nuclear power plant operations

Ahn, Jeeyea , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-02-11 View29

Adaptive Sampling for Limit Surface Search using Deep Neural Network and Monte Carlo Dropout

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2021-10-21 View11

An Autonomous Pressure Controller based on Approximation of Action Value Function

Bae, Junyong , Kim, Jaemin , Lee, Seung Jun

Conference Paper Issue Date2020-12-16 View10

An interpretable convolutional neural network for nuclear power plant abnormal events File

Shin, Ji Hyeon , Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-01 View24

Application of Artificial Neural Network for Plant Parameter Forecasting

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-04-05 View10

Application of Deep Reinforcement Learning for Multi-objective and Continuous Control of Reactor Coolant

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2022-10-20 View10

Comparison of Multilayer Perceptron and Long Short-Term Memory for Plant Parameter Trend Prediction File

Bae, Junyong , Ahn, Jeeyea , Lee, Seung Jun

Article Issue Date2020-07 View14

Comparison of Quantification Methods for Reflecting Limiting Conditions for Operation during Startup Operation of Nuclear Power Plants

Kim, Jae Min , Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2022-08-30 View17

Current Progress in the Application of Artificial Intelligence for Nuclear Power Plant Operation File

Bae, Junyong , Lee, Seung Jun

Article Issue Date2024-08 View19

Deep learning for Guided Simulation of Scenarios for Dynamic Probabilistic Risk Assessment

Bae, Junyong , Park, Jong Woo , Lee, Seung Jun

Conference Paper Issue Date2022-06-27 View9

Deep reinforcement learning for a multi-objective operation in a nuclear power plant File

Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-09 View22

Framework for Operator Manipulation Validation System using Plant Parameter Prediction

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-10-25 View10

Limit Surface Search Algorithm With Artificial Neural Network and Monte Carlo Dropout Uncertainty Quantification

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2021-11-09 View11

Limit surface/states searching algorithm with a deep neural network and Monte Carlo dropout for nuclear power plant safety assessment File

Bae, Junyong , Park, Jong Woo , Lee, Seung Jun

Article Issue Date2022-05 View21

NPP Emergency Response Planning utilizing Tree Search Algorithm and Deep Learning Models

Bae, Junyong , Jung, Donghee , Lee, Seung Jun

Conference Paper Issue Date2023-09-03 View12

Nuclear Power Plant Parameter Prediction Strategy for Human Error Detection

Bae, Junyong , Lee, Seung Jun

Conference Paper Issue Date2019-11-18 View5

Operation validation system to prevent human errors in nuclear power plants File

Ahn, Jeeyea , Bae, Junyong , Min, Byung Joo , Lee, Seung Jun

Article Issue Date2022-10 View32

Postprocessing of Multi-dimensional Limit Surfaces Searched by a Deep Learning-based Algorithm

Bae, Junyong , Heo, Yunyeong , Jo, Wooseok , Lee, Seung Jun

Conference Paper Issue Date2023-10-26 View22

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