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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 View115

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 View162

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 View141

Accurate monitoring of machining process of Ti-6Al-4V using deep multi-task learning

Park, Soyeon , Yang, Sang Min , Kim, Gyeongho , Kim, Dong Min , Lee, Hoon Hee , Choi, Jae Gyeong , Jeon, Sujin , Lim, Sunghoon , Park, Hyung Wook

Conference Paper Issue Date2024-11-28 View97

Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling File File

Choi, Jae Gyeong , Kim, Dong Chan , Chung, Miyoung , Kim, Gyeongho , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2024-12 View210

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 View235

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 View155

Class-imbalanced gas thermal image detection in manufacturing using thermal region masking and density-based reweighting File

Hwang, Gahyun , Kim, Juhyun , Choi, Jihyeok , Han, Geonhee , Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2026-01 View23

Continual learning-based remaining useful life prediction of machining tools under varying operating conditions

Kim, Gyeongho , Kang, Yun Seok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2024-10-20 View78

Continual learning-based remaining useful life prediction of machining tools under varying operating conditions

Kim, Gyeongho , Kang, Yun Seok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Kim, Juhyun , Lim, Chansung , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2024-11-01 View96

Data-Driven Prognostics of Machining Tools Under Various Machining Conditions: Applications in Milling Processes File

Kim, Gyeongho

Thesis Issue Date2025-08 View560

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 View113

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 View127

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 View85

Developing a deep learning-based uncertainty-aware tool wear prediction method using smartphone sensors for the turning process of Ti-6Al-4V File

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

Article Issue Date2024-10 View1200

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 View57

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 View167

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 View62

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

Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2023-05-22 View71

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

Kim, Gyeongho , Lim, Sunghoon

Conference Paper Issue Date2022-08-27 View41

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

Kim, Gyeongho , Lim, Sunghoon

Article Issue Date2022-04 View138

Fisher-informed continual learning for remaining useful life prediction of machining tools under varying operating conditions File

Kim, Gyeongho , Kang, Yun Seok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Park, Hyung Wook , Lim, Sunghoon

Article Issue Date2025-01 View220

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 View71

Hybrid Deep Active Learning Under Low-Budget Scenarios for Efficient Fault Detection

Kim, Gyeongho , Choi, Jae Gyeong , Jeon, Sujin , Park, Soyeon , Kim, Juhyun , Cheon, Ji Yeon , Lim, Chansung , Lim, Sunghoon

Conference Paper Issue Date2024-10-24 View101

Robust tool wear prediction under novel operating conditions via physics-guided unsupervised domain adaptation File

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

Article Issue Date2026-01 View29

Supervised contrastive learning for multi-source domain generalization: Tool failure prediction in data-deficient cryogenic milling processes File

Choi, Jae Gyeong , Kim, Dong Chan , Kim, Dong Min , Kim, Gyeongho , Jeon, Sujin , Lim, Sunghoon , Park, Hyung Wook

Article Issue Date2026-02 View44

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 View66

Towards efficient data-driven fault diagnosis under low-budget scenarios via hybrid deep active learning File

Kim, Gyeongho , Choi, Jae Gyeong , Jeon, Sujin , Park, Soyeon , Lim, Sunghoon

Article Issue Date2026-02 View23

Using transformer and a reweighting technique to develop a remaining useful life estimation method for turbofan engines File

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

Article Issue Date2024-07 View114

다중 가공 조건에서의 공구 잔여 수명 예측을 위한 연속학습 방법론 개발

Kim, Gyeongho , Kang, Yunseok , Yang, Sang Min , Choi, Jae Gyeong , Hwang, Gahyun , Kim, Juhyun , Cheon, Ji Yeon , Lim, Chansung , Park, Hyung Wook , Lim, Sunghoon

Conference Paper Issue Date2024-07-19 View132

불확실성 기반 멀티 태스크 학습을 활용한 공정 모니터링

Park, Soyeon , Yang, Sang Min , Kim, Gyeongho , Cheon, Ji Yeon , Lim, Sunghoon

Conference Paper Issue Date2024-10-24 View92

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