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Jae Gyeong Choi
Jae Gyeong Choi
Ph.D. candidate, Department of Industrial Engineering, UNIST
Adresse e-mail validée de unist.ac.kr - Page d'accueil
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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
832021
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
612022
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
422021
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
232023
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
202023
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
162023
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
132024
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
112024
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
92024
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
52024
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
32025
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
22023
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
12024
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
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