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 | 61 | 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 | 23 | 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 | 20 | 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 | 16 | 2023 |
Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots JG Choi, DC Kim, M Chung, S Lim, HW Park Computers & Industrial Engineering 190, 110074, 2024 | 13 | 2024 |
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 | 11 | 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 | 9 | 2024 |
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 | 3 | 2025 |
Sensor to Machined Surface Image Generation in CFRP Drilling JG Choi, D Kim, M Chung, HW Park, S Lim IISE Annual Conference and Expo, 2023 | 2 | 2023 |
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 |
Multimodal sensor-to-machined surface image diffusion for defect detection in industrial processes JG Choi, YS Kang, HW Park, S Lim Annual Conference of the PHM Society 16 (1), 2024 | | 2024 |
Research on the AI-based defect monitoring system in robotic CFRP machining processes DC Kim, JG Choi, M Chung, S Lim, YS Kang, HW Park 한국생산제조학회 학술발표대회 논문집, 24-24, 2024 | | 2024 |
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 |
Autoencoder-Based Tool Failure Diagnosis and Prediction in Cryogenic Milling of Ti-6Al-4V Titanium Alloy Jae Gyeong Choi, Dongchan Kim, Dongmin Kim, Hyungwook Park, Sunghoon Lim International Symposium on Precision Engineering and Sustainable Manufacturing, 2023 | | 2023 |
A Contrastive Autoencoder-based Model for Tool Failure Diagnosis in Cryogenic Milling of Ti-6Al-4V Titanium Alloy Jae Gyeong Choi, Dongchan Kim, Dongmin Kim, Hyungwook Park, Sunghoon Lim PHM Korea 2023, 2023 | | 2023 |
Grinding Process Parameter Optimization Using Machine Learning Techniques G Kim, S Park, JG Choi, H Choi, S Lim 한국데이터마이닝학회, 2023 | | 2023 |