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Author

Hye Seon Jo

Institution: Chosun University
Observed institution: Chosun University
ORCID: 0000-0002-4413-5244
Observed ORCID: 0000-0002-4413-5244
OpenAlex ID: A5048216808
A reliable intelligent diagnostic assistant for nuclear power plants using explainable artificial intelligence of GRU-AE, LightGBM and SHAP
2021 · Ji Hun Park, Hye Seon Jo, et al. · Nuclear Engineering and Technology · 67
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Prediction of the internal states of a nuclear power plant containment in LOCAs using rule-dropout deep fuzzy neural networks
2021 · Young Do Koo, Hye Seon Jo, et al. · Annals of Nuclear Energy · 21
Development of an AI-based remaining trip time prediction system for nuclear power plants
2024 · Sang Won Oh, Ji Hun Park, et al. · Nuclear Engineering and Technology · 14
Prediction of small-scale leak flow rate in LOCA situations using bidirectional GRU
2024 · Hye Seon Jo, Sang Hyun Lee, et al. · Nuclear Engineering and Technology · 8
System and Component Anomaly Detection Using LSTM-VAE
2021 · Ji Hun Park, Hye Seon Jo, et al. · International Conference on System Reliability and Safety (ICSRS) · 8
Relative humidity prediction of a leakage area for small RCS leakage quantification by applying the Bi-LSTM neural networks
2023 · Sang Hyun Lee, Hye Seon Jo, et al. · Nuclear Engineering and Technology · 7
Prediction of golden time for recovering SISs using deep fuzzy neural networks with rule-dropout
2021 · Hye Seon Jo, Young Do Koo, et al. · Nuclear Engineering and Technology · 7
AI-based condition monitoring of photocouplers to enhance the maintenance strategy for digital reactor protection systems
2025 · Ho Jun Lee, Hye Seon Jo, et al. · Nuclear Engineering and Technology · 1
Application of Multi-Task Learning for Abnormal Diagnosis and Trip Variable Prediction in Nuclear Power Plants
2022 · Hye Seon Jo, Ji Hun Park, et al. · International Conference on Computational Science and Computational Intelligence (CSCI) · 1
Deep learning-based RUL prediction with uncertainty quantification for photocouplers in reactor protection systems
2025 · Hye Seon Jo, Ho Jun Lee, et al. · Nuclear Engineering and Technology
Estimation of SAMG Entry Time in NPPs Using LSTM with Uncertainty Evaluation
2024 · Min Seon Kim, Hye Seon Jo, et al. · International Conference on Frontiers of Signal Processing (ICFSP)
Abnormality Diagnosis in NPP Using Artificial Intelligence Based on Image Data
2021 · Sang Hyun Lee, Sang Won Oh, et al. · International Conference on System Reliability and Safety (ICSRS)
Works count: 12
Citation count: 134
H-index: 7
I10-index: 3
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