| Development and application of machine learning‐based prediction model for distillation column H Kwon, KC Oh, Y Choi, YG Chung, J Kim International Journal of Intelligent Systems 36 (5), 1970-1997, 2021 | 58 | 2021 |
| Development of the process model and optimal drying conditions of biomass power plants J Han, Y Choi, J Kim ACS omega 5 (6), 2811-2818, 2020 | 36 | 2020 |
| Modeling of the wet flue gas desulfurization system to utilize low-grade limestone J Lim, Y Choi, G Kim, J Kim Korean Journal of Chemical Engineering 37, 2085-2093, 2020 | 35 | 2020 |
| Data-driven modeling of multimode chemical process: Validation with a real-world distillation column Y Choi, B Bhadriaju, H Cho, J Lim, IS Han, I Moon, JSI Kwon, J Kim Chemical Engineering Journal 457, 141025, 2023 | 29 | 2023 |
| Simulation and economic assessment of using H₂O₂ solution in wet scrubber for large marine vessels Y Choi, J Kim, I Moon Energy 194, 116907, 2020 | 27 | 2020 |
| Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process Y Choi, N An, S Hong, H Cho, J Lim, IS Han, I Moon, J Kim Computers & Chemical Engineering 161, 107758, 2022 | 17 | 2022 |
| Method for Determining Optimum Operational Conditions of Microbubble Scrubber Using Image Processing. Y Yoo, H Park, Y Choi, J Jung, H Song, J Kim, H Cho Journal of Environmental Informatics, 2021 | 17 | 2021 |
| Modeling of wet flue gas desulfurization process for utilization of low-grade limestone J Lim, Y Choi, G Kim, H Song, J Kim Korean Chemical Engineering Research 57 (5), 743-748, 2019 | 17 | 2019 |
| Energy optimization via process modification to maximize economic feasibility of the butane gas-splitting process Y Choi, N An, I Moon, J Kim Industrial & Engineering Chemistry Research 59 (40), 18019-18027, 2020 | 13 | 2020 |
| Development of machine learning-based platform for distillation column KC Oh, H Kwon, J Roh, Y Choi, H Park, H Cho, J Kim Korean Chemical Engineering Research 58 (4), 565-572, 2020 | 10 | 2020 |
| Prediction of Distillation Column Temperature Using Machine Learning and Data Preprocessing Y Lee, Y Choi, H Cho, J Kim Korean Chemical Engineering Research 59 (2), 191-199, 2021 | 7 | 2021 |
| Distillation Column Temperature Prediction Based on Machine-Learning Model Using Wavelet Transform H Kwon, Y Choi, H Park, KC Oh, H Cho, I Moon, J Kim Computer Aided Chemical Engineering 49, 1651-1656, 2022 | 5 | 2022 |
| Computational fluid dynamic modelling of optimal water level in low-pressure microbubbles scrubbers H Park, Y Yoo, Y Choi, J Roh, J Lee, J Kim, H Cho Chemical Engineering Transactions 86, 613-618, 2021 | 5 | 2021 |
| Simulation and economic evaluation of NOx removal in wet scrubbers of low-speed two-stroke vessels using H2O2 as a replacement for conventional EGR Y Choi, J Kim Computer Aided Chemical Engineering 43, 693-698, 2018 | 5 | 2018 |
| A Data-based Predictive Model for Distillation Column of Bio-based 2, 3-Butanediol Y Choi, H Park, J Roh, J Lim, I Han, DK Kim, S Jeon, HG Nam, I Moon, ... Computer Aided Chemical Engineering 50, 1005-1011, 2021 | 2 | 2021 |
| Development of Black Liquor Multiple-effect-evaporation Process Model to Predict Steam Savings Y Kim, J Lim, Y Choi, T Kim, H Park, H Cho, J Kim Korean Chemical Engineering Research 60 (1), 25-33, 2022 | 1 | 2022 |
| CFD-based Design Optimization of Air Quenching Equipment to Enhance the Cooling Effect J Roh, H Cho, Y Choi, H Park, I Moon, J Kim Computer Aided Chemical Engineering 48, 289-294, 2020 | 1 | 2020 |
| Machine Learning-Based Adaptive Regression to Identify Nonlinear Dynamics of Biochemical Systems: A Case Study on Bio 2, 3-Butanediol Distillation Process Y Choi, B Bhadriraju, H Kwon, J Lim, JSI Kwon, J Kim ACS Sustainable Chemistry & Engineering, 2024 | | 2024 |
| Data-Driven Adaptive Sparse Identification of Time-Varying Nonlinear Dynamics for 2, 3-Bdo Distillation Column Y Choi, B Bhadriraju, H Cho, J Lim, I Moon, J Kwon, J Kim 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Improved Long-Short Term Memory Model for Dynamic and Multimodal Processes Based on K-Means Clustering: Application to an Industrial 2, 3-Bdo Distillation Process Y Choi, B Bhadriraju, H Cho, J Lim, I Moon, J Kwon, J Kim 2022 AIChE Annual Meeting, 2022 | | 2022 |
Junghwan KimAssociate Professor, Yonsei Universityyonsei.ac.kr üzerinde doğrulanmış e-posta adresine sahip