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)

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)

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)

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., 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., 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., 2023)

TelBench: A Benchmark for Evaluating Telco-Specific Large Language Models. - Sunwoo Lee 007; Dhammiko Arya; Seung-Mo Cho; Gyoung-eun Han; Seokyoung Hong; Wonbeom Jang; Seojin Lee; Sohee Park; Sereimony Sek; Injee Song; Sungbin Yoon; Eric Davis (EMNLP (Industry Track), 2024)

Enhancing mixed gas discrimination in e-nose system: Sparse recurrent neural networks using transient current fluctuation of SMO array sensor. - Namsoo Lim; Seokyoung Hong; Jiwon Jung; Gun Young Jung; Deok Ha Woo; Jinwoo Park; Daewon Kong; Chandran Balamurugan; Sooncheol Kwon; Yusin Pak (J. Ind. Inf. Integr., 2024)