| Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy G Kim, SM Yang, DM Kim, S Kim, JG Choi, M Ku, S Lim, HW Park Applied Soft Computing 148, 110922, 2023 | 14 | 2023 |
| A multi-domain mixture density network for tool wear prediction under multiple machining conditions G Kim, SM Yang, S Kim, DY Kim, JG Choi, HW Park, S Lim International Journal of Production Research, 1-20, 2023 | 13 | 2023 |
| Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms G Kim, S Park, JG Choi, SM Yang, HW Park, S Lim CIRP Journal of Manufacturing Science and Technology 51, 20-35, 2024 | 6 | 2024 |
| Improvement of tool life via unique surface modification of a tungsten carbide tool using a large pulsed electron beam in Ti-6Al-4V machining SM Yang, JH Choe, J Kim, HW Park Journal of Manufacturing Processes 83, 223-234, 2022 | 4 | 2022 |
| Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of ti-6al-4v G Kim, SM Yang, DM Kim, JG Choi, S Lim, HW Park Journal of Manufacturing Systems 76, 133-157, 2024 | 2 | 2024 |
| Tool wear evolution and chip formation of the Ti-6Al-4V end milling under cryogenic cooling and minimum quantity lubrication conditions J Joo, J Kim, SM Yang, HW Park, DY Kim The International Journal of Advanced Manufacturing Technology 130 (1), 589-602, 2024 | 2 | 2024 |
| Tool wear prediction in the end milling process of Ti-6Al-4V using Bayesian learning G Kim, SM Yang, S Kim, DM Kim, S Lim, HW Park 2022 International Conference on Advanced Mechatronic Systems (ICAMechS), 64-69, 2022 | 2 | 2022 |
| Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions G Kim, YS Kang, SM Yang, JG Choi, G Hwang, HW Park, S Lim Reliability Engineering & System Safety 253, 110549, 2025 | | 2025 |
| Deep Learning-based Tool Wear Prediction under Multiple Machining Conditions G Kim, SM Yang, SW Kim, DY Kim, JG Choi, HW Park, S Lim 한국 PHM 학회, 2023 | | 2023 |
| Development of a Bayesian-based Uncertainty-aware Tool Wear Prediction Model in the End Milling Process G Kim, S Yang, S Lim 대한산업공학회, 2022 | | 2022 |
