Stacked Convolutional Bidirectional LSTM Recurrent Neural Network for Bearing Anomaly Detection in Rotating Machinery Diagnostics. - Kwangsuk Lee; Jae-Kyeong Kim; Jaehyong Kim; Kyeon Hur; Hagbae Kim (ICKII, 2018)

CNN and GRU combination scheme for Bearing Anomaly Detection in Rotating Machinery Health Monitoring. - Kwangsuk Lee; Jae-Kyeong Kim; Jaehyong Kim; Kyeon Hur; Hagbae Kim (ICKII, 2018)

Multivariate Time Series Forecasting for Remaining Useful Life of Turbofan Engine Using Deep-Stacked Neural Network and Correlation Analysis. - Chang Woo Hong; Kwangsuk Lee; Min-Seung Ko; Jae-Kyeong Kim; Kyungwon Oh; Kyeon Hur (BigComp, 2020)

Explainable Artificial Intelligence for the Remaining Useful Life Prognosis of the Turbofan Engines. - Chang Woo Hong; Changmin Lee 002; Kwangsuk Lee; Min-Seung Ko; Kyeon Hur (ICKII, 2020)

Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction. - Chang Woo Hong; Changmin Lee 002; Kwangsuk Lee; Min-Seung Ko; DaeEun Kim; Kyeon Hur (Sensors, 2020)

Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting. - Min-Seung Ko; Kwangsuk Lee; Kyeon Hur (IEEE Trans. Ind. Informatics, 2022)