| 2015 | A user customized service provider framework based on machine learning | 박형곤 | Conference Paper |
| 2024 | Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage | 민배현 | Article |
| 2017 | Design of low complexity human anxiety classification model based on machine learning | 박형곤 | Article |
| 2023 | Evaluation of secondary effluent organic matter removal by an in-series forward osmosis-ultrafiltration hybrid process using parallel factor analysis with self-organizing maps | 윤여민 | Article |
| 2023 | Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications | 이태용; Luca Quagliato | Article |
| 2024 | Gaussian process regression-driven deep drawing blank design method | 이태용; Luca Quagliato | Article |
| 2021 | Learning the properties of a water-lean amine solvent from carbon capture pilot experiments | 나종걸 | Article |
| 2022 | Learning-driven construction productivity prediction for prefabricated external insulation wall system | 손정욱 | Article |
| 2022 | Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting | 이상륜 | Article |
| 2023 | Modeling sulfamethoxazole removal by pump-less in-series forward osmosis–ultrafiltration hybrid processes using artificial neural network, adaptive neuro-fuzzy inference system, and support vector machine | 박찬혁; 윤여민; 남성남 | Article |
| 2023 | Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning | 나종걸 | Article |
| 2021 | Pathogenic potential assessment of the Shiga toxin-producing Escherichia coli by a source attribution-considered machine learning model | 김병식 | Article |
| 2022 | Performance assessment and optimization of forward osmosis–low pressure ultrafiltration hybrid system using machine learning for rhodamine B removal | 윤여민 | Article |
| 2024 | Production rescheduling via explorative reinforcement learning while considering nervousness | 나종걸 | Article |
