| Adversarial autoencoder based feature learning for fault detection in industrial processes K Jang, S Hong, M Kim, J Na, I Moon IEEE Transactions on Industrial Informatics 18 (2), 827-834, 2021 | 96 | 2021 |
| Machine learning-based energy optimization for on-site SMR hydrogen production J Lee, S Hong, H Cho, B Lyu, M Kim, J Kim, I Moon Energy Conversion and Management 244, 114438, 2021 | 85 | 2021 |
| Multi-objective optimization of CO2 emission and thermal efficiency for on-site steam methane reforming hydrogen production process using machine learning S Hong, J Lee, H Cho, M Kim, I Moon, J Kim Journal of Cleaner Production 359, 132133, 2022 | 63 | 2022 |
| Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty M Kim, S Cho, K Jang, S Hong, J Na, I Moon Chemical Engineering Journal 428, 130971, 2022 | 25 | 2022 |
| Flexible and efficient renewable-power-to-methane concept enabled by liquid CO2 energy storage: Optimization with power allocation and storage sizing M Qi, J Lee, S Hong, J Kim, Y Liu, J Park, I Moon Energy 256, 124583, 2022 | 22 | 2022 |
| 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 |
| A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection S Hong, N An, H Cho, J Lim, IS Han, I Moon, J Kim Engineering with Computers 39 (4), 3011-3021, 2023 | 11 | 2023 |
| Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes N An, S Hong, Y Kim, H Cho, J Lim, I Moon, J Kim Applied Soft Computing 147, 110763, 2023 | 6 | 2023 |
| Raw material supply strategy for petrochemical process under market uncertainty B Lyu, S Hong, S Oh, I Moon Computer Aided Chemical Engineering 44, 1519-1524, 2018 | 6 | 2018 |
| Development of a hybrid energy storage system for heat and electricity: Application to green hydrogen production process integrated with a municipal solid waste incinerator Y Kim, S Oh, D Kim, S Hong, J Park Energy Conversion and Management 321, 119009, 2024 | 5 | 2024 |
| Novel index for evaluating continuous mixing process with pulse injection of bimodal tracer particles C Park, K Lee, S Hong, J Lee, S Cho, I Moon Powder Technology 355, 309-319, 2019 | 5 | 2019 |
| Optimal evacuation route prediction in fpso based on deep q-network S Hong, K Jang, J Lee, H Yoon, I Moon Computer Aided Chemical Engineering 48, 1867-1872, 2020 | 4 | 2020 |
| Fire Prediction based on Weather and Fire Data using Artificial Neural Network S Hong, S Cho, M Kim, I Moon Journal of the Korean Society of Hazard Mitigation 19 (7), 275-281, 2019 | 4 | 2019 |
| Cluster‐Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants S Hong, J Lee, H Cho, K Jang, J Kim International Journal of Intelligent Systems 2023 (1), 5275262, 2023 | 3 | 2023 |
| Optimization of RFCC Process Considering Particle Deposition Model H Cho, KC Oh, J Lee, S Hong, J Kim Computer Aided Chemical Engineering 48, 91-96, 2020 | 1 | 2020 |
| Enhancing mixed gas discrimination in e-nose system: Sparse recurrent neural networks using transient current fluctuation of SMO array sensor N Lim, S Hong, J Jung, GY Jung, DH Woo, J Park, D Kong, ... Journal of Industrial Information Integration 42, 100715, 2024 | | 2024 |
| Multi-objective Optimization of Process Efficiency and CO2 Emission for On-Site Hydrogen Production Process Using Hybrid Data-Driven Model. J Lee, S Hong, H Cho, S Ga, J Kim 2022 AIChE Annual Meeting, 2022 | | 2022 |
| A Novel Prediction Method of the Chemical Leakage Range with Artificial Intelligence: Machine Learning for Chemical Species S Hong, I Lee, Y Kim, I Moon, H Yoon 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
| Development of Chemical Accident Response Scenario for Public Officers in Korea Y Kim, S Oh, S Hong, C Eun, I Moon 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
| Adversarial Autoencoder based fault diagnosis model for complex chemical processes K Jang, J Na, M Kim, S Hong, I Moon | | |