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Author

Ji Hun Park

Institution: Chosun University
Observed institution: Chosun University
ORCID: 0000-0003-2992-3266
Observed ORCID: 0000-0003-2992-3266
OpenAlex ID: A5100701388
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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Leak flow prediction during loss of coolant accidents using deep fuzzy neural networks
2021 · Ji Hun Park, Ye Ji An, et al. · Nuclear Engineering and Technology · 19
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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
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
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
Estimation of residual stress in dissimilar metals welding using deep fuzzy neural networks with rule-dropout
2024 · Ji Hun Park, Man Gyun Na · Nuclear Engineering and Technology · 5
A Study on the Prediction Model of Customer Leakage in Financial Companies by Deep Learning : Deducing SME Finance Implications
2020 · Ji Hun Park, Lee Hun Sang · Journal of SME Finance · 2
Identification of Abnormal Situations and Signal Failures in Nuclear Power Plants
2024 · Ji Woo Hong, Ji Hun Park, et al. · International Conference on Frontiers of Signal Processing (ICFSP) · 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
Areal velocity based DTW for abnormal trajectory detection
2023 · The Korean Data Analysis Society, Ji Hun Park, et al. · The Korean Data Analysis Society
Works count: 10
Citation count: 124
H-index: 5
I10-index: 3
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