Junghwan Kim

Orcid: 0000-0002-2311-4567

Affiliations:
  • Yonsei University, Department of Chemical & Biomolecular Engineering, Seoul, Republic of Korea


According to our database1, Junghwan Kim authored at least 19 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Novel inverse predictive system integrated with industrial lubricant information.
Eng. Appl. Artif. Intell., 2025

2024
Hyperparameter Optimization of the Machine Learning Model for Distillation Processes.
Int. J. Intell. Syst., 2024

Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data.
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.
Eng. Appl. Artif. Intell., November, 2023

Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes.
Appl. Soft Comput., November, 2023

Correction to: A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection.
Eng. Comput., October, 2023

pyAPEP: An all-in-one software package for the automated preparation of adsorption process simulations.
Comput. Phys. Commun., October, 2023

A novel graph-based missing values imputation method for industrial lubricant data.
Comput. Ind., September, 2023

A Dynamic Soft Sensor Based on Hybrid Neural Networks to Improve Early Off-spec Detection.
Eng. Comput., August, 2023

Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition.
Expert Syst. Appl., April, 2023

Cluster-Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants.
Int. J. Intell. Syst., 2023

Chemical Property-Guided Neural Networks for Naphtha Composition Prediction.
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.
Int. J. Intell. Syst., 2022

Cover: International Journal of Intelligent Systems, Volume 37 Issue 6 June 2022.
Int. J. Intell. Syst., 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.
Comput. Chem. Eng., 2022

2021
Development and application of machine learning-based prediction model for distillation column.
Int. J. Intell. Syst., 2021

Cover: International Journal of Intelligent Systems, Volume 36 Issue 5 May 2021.
Int. J. Intell. Syst., 2021

Techno-economic assessment of carbonate melt flue gas desulfurization process.
Comput. Chem. Eng., 2021

2018
Corrosion effect on inspection and replacement planning for a refinery plant.
Comput. Chem. Eng., 2018


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