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 | 64 | 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 | 35 | 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 | 27 | 2021 |
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 | 9 | 2023 |
Recent deep semi-supervised learning approaches and related works G Kim arXiv preprint arXiv:2106.11528, 2021 | 9 | 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 | 7 | 2023 |
Development of an interpretable maritime accident prediction system using machine learning techniques G Kim, S Lim IEEE Access 10, 41313-41329, 2022 | 7 | 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 | 4 | 2023 |
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 |
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 | | 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 | | 2024 |
Ti-6Al-4V End-milling 가공 시 불확실성을 고려 한 공구 마모 모델 개발 양상민, 김경호, 최지혁, 임성훈, 박형욱 한국생산제조학회 학술발표대회 논문집, 125-125, 2023 | | 2023 |
Development of an AI-based fault detection and process optimization method for small-sized manufacturing companies 김경호, 최지혁, 황가현, 안성근, 장준석, 최혁준, 임성훈 대한산업공학회 추계학술대회 논문집, 3071-3071, 2023 | | 2023 |
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 |
Grinding Process Parameter Optimization Using Machine Learning Techniques G Kim, S Park, JG Choi, H Choi, S Lim 한국데이터마이닝학회, 2023 | | 2023 |
Development of a Deep Learning-based Uncertainty-aware Predictive Maintenance Method G Kim, S Lim Institute of Industrial and Systems Engineers, 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 |
Development of a Remaining Useful Life Estimation Method Using Transformer and a Reweighting Technique G Kim, S Lim 한국데이터마이닝학회, 2022 | | 2022 |
Effects of Pet Bereavement during Childhood and Adolescence on Emotion Regulation G Kim SocArXiv, 2022 | | 2022 |
Developing a quality level prediction framework with semi-supervised learning and ordinal classification for UV lamps M Ku, G Kim, S Lim Institute of Industrial and Systems Engineers, 2022 | | 2022 |