Hanyang University ERICADepartment of Battery and Chemical Engineering

PUBLICATIONS

논문

2025

  1. Enhanced O-glycosylation site prediction using explainable machine learning technique with spatial local environment

    Seokyoung Hong†, Krishna Gopal Chattaraj†, Jing Guo, Bernhardt L. Trout, Richard D. Braatz*

    주저자Bioinformatics 41, btaf034

2024

  1. 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*

    주저자Journal of Industrial Information Integration 42, 100715

  2. Development of a hybrid energy storage system for heat and electricity: Application to green hydrogen production process integrated with a municipal solid waste incinerator

    Yungeon Kim, Sebin Oh, Dohee Kim, Seokyoung Hong*, Jinwoo Park*

    교신저자Energy Conversion and Management 321, 119009

2023

  1. 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*

    주저자Applied Soft Computing 147, 110763

  2. Cluster-based multi-objective particle swarm optimization and application for chemical plants

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

    주저자International Journal of Intelligent Systems 2023, 5275262

2022

  1. 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*

    주저자Engineering with Computers 39, 3011–3021

  2. Multi-objective optimization of CO2 emission and thermal efficiency for on-site steam methane reforming hydrogen production process using machine learning

    Seokyoung Hong†, Jaewon Lee†, Hyungtae Cho, Minsu Kim, Il Moon*, Junghwan Kim*

    주저자Journal of Cleaner Production 359, 132133

  3. Flexible and efficient renewable-power-to-methane concept enabled by liquid CO2 energy storage: Optimization with power allocation and storage sizing

    Meng Qi, Jaewon Lee, Seokyoung Hong, Jeongdong Kim, Yi Liu, Jinwoo Park*, Il Moon*

    Energy 256, 124583

  4. Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty

    Minsu Kim, Sunghyun Cho, Kyojin Jang, Seokyoung Hong, Jonggeol Na*, Il Moon*

    Chemical Engineering Journal 428, 130971

  5. 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*

    Computers & Chemical Engineering 161, 107758

2021

  1. Machine learning-based energy optimization for on-site SMR hydrogen production

    Jaewon Lee†, Seokyoung Hong†, Hyungtae Cho, Byeonggil Lyu, Myungjun Kim, Junghwan Kim*, Il Moon*

    주저자Energy Conversion and Management 244, 114438

  2. Adversarial autoencoder-based feature learning for fault detection in industrial processes

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

    IEEE Transactions on Industrial Informatics 18, 827–834

2019

  1. Novel index for evaluating continuous mixing process with pulse injection of bimodal tracer particles

    Chanho Park, Kwanghee Lee, Seokyoung Hong, Jaewon Lee, Seungsik Cho, Il Moon*

    Powder Technology 355, 309–319