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Min-Seung Ko

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2020 – today

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2022
[j2]
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  dblp key:
  - journals/tii/KoLH22
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  - https://dblp.org/rec/journals/tii/KoLH22
Min-Seung Ko, Kwangsuk Lee, Kyeon Hur:
Feedforward Error Learning Deep Neural Networks for Multivariate Deterministic Power Forecasting. IEEE Trans. Ind. Informatics 18(9): 6214-6223 (2022)
2021
[c3]
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  - conf/ickii/HongKH21
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Chang Woo Hong, Min-Seung Ko, Kyeon Hur:
ConvNet-based Remaining Useful Life Prognosis of a Turbofan Engine. ICKII 2021: 190-193
2020
[j1]
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  - journals/sensors/HongLLKKH20
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Chang Woo Hong, Changmin Lee, Kwangsuk Lee, Min-Seung Ko, DaeEun Kim, Kyeon Hur:
Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction. Sensors 20(22): 6626 (2020)
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Chang Woo Hong, Kwangsuk Lee, Min-Seung Ko, Jae-Kyeong Kim, Kyungwon Oh, Kyeon Hur:
Multivariate Time Series Forecasting for Remaining Useful Life of Turbofan Engine Using Deep-Stacked Neural Network and Correlation Analysis. BigComp 2020: 63-70
[c1]
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Chang Woo Hong, Changmin Lee, Kwangsuk Lee, Min-Seung Ko, Kyeon Hur:
Explainable Artificial Intelligence for the Remaining Useful Life Prognosis of the Turbofan Engines. ICKII 2020: 144-147

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