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Hyungtae Cho
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 14
Top Topics
Hybrid Neural
Top Venues
Int. J. Intell. Syst.
Comput. Chem. Eng.
Eng. Comput.
CoRR
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Publications
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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 (2023)
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 (2023)
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 (2023)
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 (2023)
Chonghyo Joo
,
Jeongdong Kim
,
Hyungtae Cho
,
Jaewon Lee
,
Sungho Suh
,
Junghwan Kim
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction.
CoRR
(2023)
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) (2023)
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 (2023)
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) (2023)
Chonghyo Joo
,
Jeongdong Kim
,
Hyungtae Cho
,
Jaewon Lee
,
Sungho Suh
,
Junghwan Kim
Chemical Property-Guided Neural Networks for Naphtha Composition Prediction.
INDIN
(2023)
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) (2022)
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 (2022)
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) (2022)
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 (2022)
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 (2021)