Junghwan Kim
Orcid: 0000-0002-2311-4567Affiliations:
- 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:
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Bibliography
2025
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
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
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
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
Int. J. Intell. Syst., 2021
Comput. Chem. Eng., 2021
2018
Comput. Chem. Eng., 2018