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Hyungtae Cho
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2020 – today
- 2023
- [j12]Nahyeon An, Seokyoung Hong, Yurim Kim, Hyungtae Cho, Jongkoo Lim, Il Moon, Junghwan Kim:
Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes. Appl. Soft Comput. 147: 110763 (2023) - [j11]Soohwan Jeong, Chonghyo Joo, Jongkoo Lim, Hyungtae Cho, Sungsu Lim, Junghwan Kim:
A novel graph-based missing values imputation method for industrial lubricant data. Comput. Ind. 150: 103937 (2023) - [j10]Chonghyo Joo, Hyundo Park, Jongkoo Lim, Hyungtae Cho, Junghwan Kim:
Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations. Eng. Appl. Artif. Intell. 126: 106873 (2023) - [j9]Jeongdong Kim, Chonghyo Joo, Minsu Kim, Nahyeon An, Hyungtae Cho, Il Moon, Junghwan Kim:
Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition. Expert Syst. Appl. 216: 119464 (2023) - [j8]Seokyoung Hong, Nahyeon An, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim:
A Dynamic Soft Sensor Based on Hybrid Neural Networks to Improve Early Off-spec Detection. Eng. Comput. 39(4): 3011-3021 (2023) - [j7]Seokyoung Hong, Nahyeon An, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim:
Correction to: A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection. Eng. Comput. 39(5): 3155 (2023) - [j6]Seokyoung Hong, Jaewon Lee, Hyungtae Cho, Kyojin Jang, Junghwan Kim:
Cluster-Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants. Int. J. Intell. Syst. 2023: 1-13 (2023) - [c1]Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim:
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction. INDIN 2023: 1-6 - [i1]Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim:
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction. CoRR abs/2306.01391 (2023) - 2022
- [j5]Youngjin Kim, Taejong Kim, Chanho Park, Jaewon Lee, Hyungtae Cho, Myungjun Kim, Il Moon:
Development of novel flow distribution apparatus for simulated moving bed to improve degree of mixing. Comput. Chem. Eng. 156: 107553 (2022) - [j4]Yeongryeol Choi, Nahyeon An, Seokyoung Hong, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim:
Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process. Comput. Chem. Eng. 161: 107758 (2022) - [j3]Chonghyo Joo, Hyundo Park, Jongkoo Lim, Hyungtae Cho, Junghwan Kim:
Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters. Int. J. Intell. Syst. 37(6): 3625-3653 (2022) - [j2]Chonghyo Joo, Hyundo Park, Jongkoo Lim, Hyungtae Cho, Junghwan Kim:
Cover: International Journal of Intelligent Systems, Volume 37 Issue 6 June 2022. Int. J. Intell. Syst. 37(6): i (2022) - 2021
- [j1]Juwon Lee, Hyungtae Cho, Il Moon, Igor Lubomirsky, Valery Kaplan, Junghwan Kim, Yuchan Ahn:
Techno-economic assessment of carbonate melt flue gas desulfurization process. Comput. Chem. Eng. 146: 107227 (2021)
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