Hyunwoong Ko
Orcid: 0000-0001-5086-2918
According to our database1,
Hyunwoong Ko
authored at least 22 papers
between 2018 and 2025.
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Bibliography
2025
CoRR, July, 2025
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components.
CoRR, May, 2025
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review.
CoRR, May, 2025
Generative Multimodal Multiscale Data Fusion for Digital Twins in Aerosol Jet Electronics Printing.
CoRR, May, 2025
Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery.
J. Comput. Inf. Sci. Eng., 2025
2024
Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing.
J. Comput. Inf. Sci. Eng., April, 2024
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition.
J. Comput. Inf. Sci. Eng., April, 2024
Towards reproducible machine learning-based process monitoring and quality prediction research for additive manufacturing.
CoRR, 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Collaborative knowledge management to identify data analytics opportunities in additive manufacturing.
J. Intell. Manuf., February, 2023
Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals.
J. Comput. Inf. Sci. Eng., 2023
CoRR, 2023
2021
2020
Differences in Facial Expressions between Spontaneous and Posed Smiles: Automated Method by Action Units and Three-Dimensional Facial Landmarks.
Sensors, 2020
2019
J. Comput. Inf. Sci. Eng., 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
A Framework for Identifying and Prioritizing Data Analytics opportunities in Additive Manufacturing.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Building Cost-effective Model For Predicting β-Amyloid Burden by Combination of Cortical Thickness, Volume, and Neuropsychological Assessment Measures.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018