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Chonghyo Joo
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 9
Top Topics
Hyperparameters
Top Venues
Int. J. Intell. Syst.
Eng. Appl. Artif. Intell.
CoRR
Comput. Phys. Commun.
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Publications
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Hyundo Park
,
Chonghyo Joo
,
Jongkoo Lim
,
Junghwan Kim
Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data.
Eng. Appl. Artif. Intell.
135 (2024)
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)
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)
Seongbin Ga
,
Nahyeon An
,
Chonghyo Joo
,
Junghwan Kim
pyAPEP: An all-in-one software package for the automated preparation of adsorption process simulations.
Comput. Phys. Commun.
291 (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)
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)
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)