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Congratulation! The paper entitled “Data-driven surrogate modeling for thermal-hydraulic codes via hybrid deep neural networks and quantile learning” has been accepted at Machine Learning: Science and Technology (JCR Top 14.3%, Q1).
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2026/06/17
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Congratulation! The paper entitled “PQNet: Probabilistic Quantile Network for multivariate surrogate modeling in nuclear thermal-hydraulics” has been accepted at Nuclear Engineering and Technology (JCR Top 15.9%, Q1).
Open
2026/03/18
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Congratulations! Hyojun Lee (research intern) won the Encouragement Award at the 2025 (KICS) Winter Conference Undergraduate Paper Competition.
Open
2025/02/06
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The paper entitles “Quantitative comparison of explainable artificial intelligence methods for nuclear power plant accident diagnosis models” has been published in the “Progress in Nuclear Energy”, Volume 180, February 2025 (JCR Top 7%).
Open
2025/01/09
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Congratulation! The paper entitled ” Data-driven clustering analysis for representative EV charging profile in South Korea” has been accepted at Sensors
Open
2024/10/17
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The paper entitled "Can Untrained Neural Networks Detect Anomalies" has been published in the prestigious IEEE Transactions on Industrial Informatics, Volume 20, No 4, April 2024.
Open
2024/04/01
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The paper entitled "Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting" has been published in the prestigious IEEE Transactions on Smart Grid, Volume 15, Issue 2, March 2024.
Open
2024/03/18
News
Congratulation! The paper entitled ”Can Untrained Neural Networks Detect Anomalies?” has been accepted at IEEE Transactions on Industrial Informatics (JCR Top 2.3% Journal)
Open
2023/12/14