Hyungtae Cho

Orcid: 0000-0002-7728-2793

According to our database1, Hyungtae Cho authored at least 13 papers between 2021 and 2023.

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

Timeline

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Bibliography

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

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

Development of novel flow distribution apparatus for simulated moving bed to improve degree of mixing.
Comput. Chem. Eng., 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
Techno-economic assessment of carbonate melt flue gas desulfurization process.
Comput. Chem. Eng., 2021


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