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Gyeongho Kim
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Year
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
612021
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
312022
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
232021
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
92023
Recent deep semi-supervised learning approaches and related works
G Kim
arXiv preprint arXiv:2106.11528, 2021
82021
Development of an interpretable maritime accident prediction system using machine learning techniques
G Kim, S Lim
IEEE Access 10, 41313-41329, 2022
62022
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
42023
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
32023
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
22022
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
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