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A Deep Learning-based Cryptocurrency Price Prediction Model That Uses On-chain Data File File

Kim, Gyeongho , Shin, Dong-Hyun , Choi, Jae Gyeong , Lim, Sunghoon

Article Issue Date2022-06 View5

A multi-domain mixture density network for tool wear prediction under multiple machining conditions File File

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

Article Issue Date2023-12 View6

A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process File File

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

Article Issue Date2021-09 View5

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 View21

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 View12

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 View11

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 View3

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 View3

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 View7

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 View3

Development of a Deep Learning-based Uncertainty-aware Predictive Maintenance Method

Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2023-05-22 View6

Development of a Remaining Useful Life Estimation Method Using Transformer and a Reweighting Technique

Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2022-08-27 View4

Development of an Interpretable Maritime Accident Prediction System Using Machine Learning Techniques File

Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2022-04 View5

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 View6

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 View4

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