| 2021-02 | A convolutional neural network model for abnormality diagnosis in a nuclear power plant | Lee, Gyumin; Lee, Seung Jun; Lee, Changyong | ARTICLE | 130 |
| 2007 | A dynamic neural network aggregation model for transient diagnosis in nuclear power plants | Mo, Kun; Lee, Seung Jun; Seong, Poong Hyun | ARTICLE | 494 |
| 2020-12-17 | A Dynamic PSA Framework Based on System Performance through Thermal-Hydraulic Simulation | Park, Jong Woo; Lee, Seung Jun | CONFERENCE | 64 |
| 2020-11-30 | A Framework for Dynamic PSA using System Performance-based Surrogate Method | Park, Jong Woo; Lee, Seung Jun | CONFERENCE | 28 |
| 2018-03-14 | A Framework for Risk Assessment of Cyber-attacks on Nuclear Power Plant | Park, Jong Woo; Lee, Seung Jun | CONFERENCE | 45 |
| 2014-11 | A Guideline to HRA Data Collection from Simulations | Park, Jinkyun; Choi, Sunyong; Kim, Seung Hwan; Kim, Yochan; Lee, Seung Jun; Jung, Wondea; Yang, Joon Eon | ARTICLE | 249 |
| 2019-02-11 | A human error detection system in nuclear power plant operations | Ahn, Jeeyea; Bae, Junyong; Lee, Seung Jun | CONFERENCE | 190 |
| 2019-07-28 | A model for automatically detecting and classifying human errors with procedural basis in nuclear power plants | Ahn, Jeeyea; Lee, Seung Jun | CONFERENCE | 68 |
| 2007-10 | A neural network based operation guidance system for procedure presentation and operation validation in nuclear power plants | Mo, Kun; Lee, Seung Jun; Seong, Poong Hyun | ARTICLE | 397 |
| 2020-11-01 | A Procedure Performing System Using Deep Learning Algorithm for Nuclear Power Plant | Ahn, Jeeyea; Lee, Seung Jun | CONFERENCE | 29 |
| 2020-07 | A quantitative assessment framework for cyber-attack scenarios on nuclear power plants using relative difficulty and consequence | Park, Jong Woo; Lee, Seung Jun | ARTICLE | 232 |
| 2020-11 | A Sensor Fault-Tolerant Accident Diagnosis System | Choi, Jeonghun; Lee, Seung Jun | ARTICLE | 117 |
| 2019-10-25 | Abnormal sensor detection using consistency index in accident situation | Choi, Junghun; Lee, Seung Jun | CONFERENCE | 63 |
| 2019-10-25 | Abnormal State Diagnosis about Actual Sensor Data with Noise | Shin, Ji Hyun; Lee, Seung Jun | CONFERENCE | 75 |
| 2019-11-18 | Abnormal State Diagnosis Considering Noise Using Gated Recurrent Unit Network | Shin, Ji Hyun; Kim, Jaemin; Lee, Seung Jun | CONFERENCE | 85 |
| 2021-04 | Abnormal state diagnosis model tolerant to noise in plant data | Shin, Ji Hyeon; Kim, Jae Min; Lee, Seung Jun | ARTICLE | 112 |
| 2018-10-26 | Abnormal State Identifying Algorithm Using Recurrent Neural Network | Kim, Jae Min; Lee, Gyu Min; Hong, Suckwon; Lee, Seung Jun | CONFERENCE | 57 |
| 2020-09 | Abnormality Diagnosis Model for Nuclear Power Plants Using Two-Stage Gated Recurrent Units | Kim, Jae Min; Lee, Gyumin; Lee, Changyong; Lee, Seung Jun | ARTICLE | 297 |
| 2019-08 | Abnormality Diagnosis System for Nuclear Power Plants Using Multiple Gated Recurrent Unit Algorithms | Lee, Seung Jun; Kim, Jae Min | Master's thesis | 292 |
| 2008-04 | An analytical approach to quantitative effect estimation of operation advisory system based on human cognitive process using the Bayesian belief network | Lee, Seung Jun; Kim, Man Cheol; Seong, Poong Hyun | ARTICLE | 421 |
