| Recurrent neural network-based hourly prediction of photovoltaic power output using meteorological information D Lee, K Kim Energies 12 (2), 215, 2019 | 159 | 2019 |
| PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information D Lee, K Kim Renewable Energy 173, 1098-1110, 2021 | 69 | 2021 |
| Web site keyword selection method by considering semantic similarity based on word2vec D Lee, K Kim The Journal of Society for e-Business Studies 23 (2), 83-96, 2018 | 19 | 2018 |
| Business transaction recommendation for discovering potential business partners using deep learning D Lee, K Kim Expert Systems with Applications 201, 117222, 2022 | 10 | 2022 |
| Self-growth learning-based machine scheduler to minimize setup time and tardiness in OLED display semiconductor manufacturing D Lee, D Lee, K Kim Applied Soft Computing 145, 110600, 2023 | 7 | 2023 |
| An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions D Lee, IB Park, K Kim Applied Soft Computing 164, 112002, 2024 | 2 | 2024 |
| Machine learning-based day-ahead prediction of price-setting scheduled energy in the Korean electricity trading mechanism D Lee, K Kim, SH Song IEEE Access 11, 58705-58714, 2023 | 1 | 2023 |
| A self-imitation learning approach for scheduling evaporation and encapsulation stages of OLED display manufacturing systems D Lee, IB Park, K Kim Robotics and Computer-Integrated Manufacturing 93, 102917, 2025 | | 2025 |
| ANALYSIS AND VISUALIZATION METHODS FOR TOPICAL BUSINESS NETWORKS D Lee, K Kim BIG DATA ANALYTICS, DATA MINING AND COMPUTATIONAL INTELLIGENCE 2018 THEORY …, 0 | | |
