Seokyoung Hong

According to our database, Seokyoung Hong authored at least 6 papers between 2022 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 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

Cluster-Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants.

Seokyoung Hong, Jaewon Lee, Hyungtae Cho, Kyojin Jang, Junghwan Kim

Int. J. Intell. Syst., 2023

2022

Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes.

Kyojin Jang, Seokyoung Hong, Minsu Kim, Jonggeol Na, Il Moon

IEEE Trans. Ind. Informatics, 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