| An accident diagnosis algorithm using long short-term memory J Yang, J Kim Nuclear Engineering and Technology 50 (4), 582-588, 2018 | 88 | 2018 |
| Conceptual design of autonomous emergency operation system for nuclear power plants and its prototype J Kim, D Lee, J Yang, S Lee Nuclear Engineering and Technology 52 (2), 308-322, 2020 | 25 | 2020 |
| Accident diagnosis algorithm with untrained accident identification during power-increasing operation J Yang, J Kim Reliability Engineering & System Safety 202, 107032, 2020 | 22 | 2020 |
| Accident diagnosis and autonomous control of safety functions during the startup operation of nuclear power plants using LSTM J Yang, D Lee, J Kim Advances in Artificial Intelligence, Software and Systems Engineering: Joint …, 2019 | 10 | 2019 |
| Nuclear Power Plant Accident Diagnosis Algorithm Including Novelty Detection Function Using LSTM J Yang, S Lee, J Kim Advances in Artificial Intelligence, Software and Systems Engineering …, 2020 | 6 | 2020 |
| Analysis of errors of commission for a CE type plant with the advanced control room in the full power condition J Yang, T Kim, J Kim Annals of Nuclear Energy 105, 184-195, 2017 | 4 | 2017 |
| An accident diagnosis algorithm with untrained accident identification J Yang, J Kim Transactions of the Korean Nuclear Society Spring Meeting, Jeju, Korea, 2019 | 1 | 2019 |
| Accident Diagnosis Algorithm During the Startup Operation Using LSTM J Yang, J Kim Proc. of the Korean Nuclear Society 2019 Spring Mtg, 23-24, 2019 | 1 | 2019 |
| NPP Condition Diagnosis by Monitoring Critical Safety Functions J Yang, J Kim Transaction of the Korean nuclear Society Spring Meeting Gyeongju, Korea, 2017 | 1 | 2017 |
| Uncertainty analysis on support vector machine for measuring organizational factors in probabilistic risk assessment of nuclear power plants J Yang, J Kim, P Farshadmanesh, T Sakurahara, S Reihani, C Blake, ... Progress in Nuclear Energy 153, 104411, 2022 | | 2022 |
| Theory-guided machine learning for licensee event reports of uS nuclear power plants to quantify organizational factors in probabilistic risk assessment J Pence, J Yang, P Farshadmanesh, T Sakurahara, S Reihani, ... 30th European Safety and Reliability Conference, ESREL 2020 and 15th …, 2020 | | 2020 |
| Equipping machine learning with uncertainty quantification to update probabilistic risk assessment of nuclear power plants using nrc licensee event reports J Yang, P Farshadmanesh, T Sakurahara, J Pence, S Reihani, C Blake, ... Transactions of the American Nuclear Society 123 (1), 280-283, 2020 | | 2020 |
| Identification of Abnormal Situations using Long Short-Term Memory H Kim, J Yang, D Lee, J Kim | | |
| Monitoring the Status of Safety Functions using LSTM J YANG, J KIM | | |
Jonghyun KimChosun University在 chosun.ac.kr 的电子邮件经过验证
