Chonghyo Joo

According to our database, Chonghyo Joo authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data.

Hyundo Park, Chonghyo Joo, Jongkoo Lim, Junghwan Kim

Eng. Appl. Artif. Intell., 2024

2023

Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations.

Chonghyo Joo, Hyundo Park, Jongkoo Lim, Hyungtae Cho, Junghwan Kim

Eng. Appl. Artif. Intell., November, 2023

pyAPEP: An all-in-one software package for the automated preparation of adsorption process simulations.

Seongbin Ga, Nahyeon An, Chonghyo Joo, Junghwan Kim

Comput. Phys. Commun., October, 2023

A novel graph-based missing values imputation method for industrial lubricant data.

Soohwan Jeong, Chonghyo Joo, Jongkoo Lim, Hyungtae Cho, Sungsu Lim, Junghwan Kim

Comput. Ind., September, 2023

Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition.

Jeongdong Kim, Chonghyo Joo, Minsu Kim, Nahyeon An, Hyungtae Cho, Il Moon, Junghwan Kim

Expert Syst. Appl., April, 2023

Chemical Property-Guided Neural Networks for Naphtha Composition Prediction.

Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

2022

Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters.

Chonghyo Joo, Hyundo Park, Jongkoo Lim, Hyungtae Cho, Junghwan Kim

Int. J. Intell. Syst., 2022

Cover: International Journal of Intelligent Systems, Volume 37 Issue 6 June 2022.

Chonghyo Joo, Hyundo Park, Jongkoo Lim, Hyungtae Cho, Junghwan Kim

Int. J. Intell. Syst., 2022