| Car crash detection using ensemble deep learning and multimodal data from dashboard cameras JG Choi, CW Kong, G Kim, S Lim Expert systems with applications 183, 115400, 2021 | 83 | 2021 |
| A deep learning-based cryptocurrency price prediction model that uses on-chain data G Kim, DH Shin, JG Choi, S Lim IEEE Access 10, 56232-56248, 2022 | 58 | 2022 |
| A multimodal deep learning-based fault detection model for a plastic injection molding process G Kim, JG Choi, M Ku, H Cho, S Lim IEEE Access 9, 132455-132467, 2021 | 42 | 2021 |
| 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 | 22 | 2023 |
| Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing G Kim, JG Choi, M Ku, S Lim Computers & Industrial Engineering 181, 109286, 2023 | 19 | 2023 |
| Development of an interpretable maritime accident prediction system using machine learning techniques G Kim, S Lim IEEE Access 10, 41313-41329, 2022 | 18 | 2022 |
| 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 | 16 | 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 | 10 | 2024 |
| Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines G Kim, JG Choi, S Lim Engineering Applications of Artificial Intelligence 133, 108475, 2024 | 8 | 2024 |
| Recent deep semi-supervised learning approaches and related works G Kim arXiv preprint arXiv:2106.11528, 2021 | 8 | 2021 |
| 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 | 5 | 2024 |
| 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 | 2 | 2025 |
| 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 |
| Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling JG Choi, DC Kim, M Chung, G Kim, HW Park, S Lim Expert Systems with Applications 255, 124656, 2024 | 1 | 2024 |
| Accurate monitoring of machining process of Ti-6Al-4V using deep multi-task learning S Park, SM Yang, G Kim, DM Kim, HH Lee, JG Choi, S Jeon, S Lim, ... 2024 International Conference on Advanced Mechatronic Systems (ICAMechS …, 2024 | | 2024 |
| Hybrid Deep Active Learning Under Low-Budget Scenarios for Efficient Fault Detection 김경호， 최재경， 전수진， 박소연， 김주현， 천지연， 임찬성， 임성훈 대한산업공학회 추계학술대회 논문집, 683-696, 2024 | | 2024 |
Sunghoon LimUlsan National Institute of Science and Technology (UNIST)Correu electrònic verificat a unist.ac.kr
