Jongkoo Lim

According to our database, Jongkoo Lim authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes.

Nahyeon An, Seokyoung Hong, Yurim Kim, Hyungtae Cho, Jongkoo Lim, Il Moon, Junghwan Kim

Appl. Soft Comput., November, 2023

Correction to: A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection.

Seokyoung Hong, Nahyeon An, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim

Eng. Comput., 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

A Dynamic Soft Sensor Based on Hybrid Neural Networks to Improve Early Off-spec Detection.

Seokyoung Hong, Nahyeon An, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim

Eng. Comput., August, 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

Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process.

Yeongryeol Choi, Nahyeon An, Seokyoung Hong, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim

Comput. Chem. Eng., 2022

2020

Multi-objective optimization of operation of lignocellulosic acetone-butanol-ethanol fermentation with ex situ butanol recovery (ESBR).

Ha-Eun Byun, Boeun Kim, Jongkoo Lim, Jay H. Lee

Comput. Chem. Eng., 2020