| 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 |
| 2024 | Deep learning of sleep apnea-hypopnea events for accurate classification of obstructive sleep apnea and determination of clinical severity | 김동엽 | Article |
| 2017 | Design of low complexity human anxiety classification model based on machine learning | 박형곤 | Article |
| 2022 | Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence | 류호영 | Article |
| 2020 | Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status | 박예원 | Article |
| 2022 | DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification | 양대헌 | Article |
| 2019 | Dropout early warning systems for high school students using machine learning | 정제영; 이선복 | 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 |
| 2017 | Evolving neural network intrusion detection system for MCPS | 채기준; 도인실 | Conference Paper |
| 2023 | Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications | 이태용; Luca Quagliato | Article |
| 2022 | Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches | 하은희 | Article |
| 2024 | Gaussian process regression-driven deep drawing blank design method | 이태용; Luca Quagliato | Article |
| 2018 | Icing detection over East Asia from geostationary satellite data using machine learning approaches | 안명환 | Article |
| 2019 | Introduction to convolutional neural network using Keras; An understanding from a statistician | 송종우 | Article |
| 2022 | Investigating the effect of traffic sampling on machine learning-based network intrusion detection approaches | 양대헌 | 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 |
| 2023 | Machine learning algorithm for early-stage prediction of severe morbidity in COVID-19 pneumonia patients based on bio-signals | 이정화; 백승민 | Article |
| 2019 | Machine Learning Analysis for the Soliton Formation in Resonant Nonlinear Three-Wave Interactions | 이민수 | Article |
| 2021 | Machine learning approaches for predicting bisphosphonate-related osteonecrosis in women with osteoporosis using vegfa gene polymorphisms | 곽혜선; 김선종; 김진우 | Article |
| 2023 | Machine Learning-assisted Quantitative Mapping of Intracortical Axonal Plasticity Following a Focal Cortical Stroke in Rodents | 이향운; 박창현 | Article |
| 2023 | Machine learning-based prediction of risk factors for abnormal glycemic control in diabetic cancer patients receiving nutrition support: a case–control study | 곽혜선; 이정 | Article |
| 2022 | Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting | 이상륜 | Article |
| 2019 | Machine-learning and corpus-based analyses of Korean nouns from subjects and objects: Stimuli development of verb treatment for neurogenic communication disorders [신경언어장애군의 동사 중재 자극 개발을 위한 기계학습 및 빅데이터 기반 한국어의 주격 및 목적격 명사 분석] | 성지은 | Article |
| 2023 | Machine-learning based prediction models for assessing skin irritation and corrosion potential of liquid chemicals using physicochemical properties by XGBoost | 임경민; 김명규 | 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 |
| 2022 | Precision nutrition: approach for understanding intra-individual biological variation | 김양하 | Review |
