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Showing results 4 to 16 of 16

Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy File File

Kim, Gyeongho , Yang, Sang Min , Kim, Dong Min , Kim, Sinwon , Choi, Jae Gyeong , Ku, Minjoo , Lim, Sunghoon , Park, Hyung Wook

Article Issue Date2023-11 View34
Car crash detection using ensemble deep learning and multimodal data from dashboard cameras File

Choi, Jae Gyeong , Kong, Chan Woo , Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2021-11 View22
Deep Learning-based Tool Wear Prediction under Multiple Machining Conditions

Kim, Gyeongho , Yang, Sang Min , Kim, Sin Won , Kim, Do Young , Choi, Jae Gyeong , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2023-07-05 View23
Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms File

Kim, Gyeongho , Park, Soyeon , Choi, Jae Gyeong , Yang, Sang Min , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2024-07 View1
Developing a deep learning-based fault detection model for plastic injection molding for car parts companies

Kim, Gyeongho , Choi, Jae Gyeong , Ku, Minjoo , Cho, Hyewon , Lim, Sunghoon

Conference Paper Issue Date2021-05-21 View5
Developing a quality level prediction framework with semi-supervised learning and ordinal classification for UV lamps

Ku, Minjoo , Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2022-05-22 View4
Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing File

Kim, Gyeongho , Choi, Jae Gyeong , Ku, Minjoo , Lim, Sunghoon

Article Issue Date2023-07 View18
Development of a Bayesian-based Uncertainty-aware Tool Wear Prediction Model in the End Milling Process

Kim, Gyeongho , Yang, Sangmin , Lim, Sunghoon

Conference Paper Issue Date2022-11-04 View5
Development of a Deep Learning-based Uncertainty-aware Predictive Maintenance Method

Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2023-05-22 View9
Development of a Remaining Useful Life Estimation Method Using Transformer and a Reweighting Technique

Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2022-08-27 View7
Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques File

Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2022-04 View16
Grinding Process Parameter Optimization Using Machine Learning Techniques

Kim, Gyeongho , Park, Soyeon , Choi, Jae Gyeong , Choi, Hyeokjoon , Lim, Sunghoon

Conference Paper Issue Date2023-06-23 View10
Tool Wear Prediction in the End Milling Process of Ti-6Al-4V using Bayesian Learning

Kim, Gyeongho , Yang, Sang Min , Kim, Sinwon , Kim, Dong Min , Lim, Sunghoon , Park, Hyung Wook

Conference Paper Issue Date2022-12-18 View6
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