Scholarworks@UNIST

UNIST Library

Browsing by Author : Choi, Jae Gyeong

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

가 나 다 라 마 바 사 아 자 차 카 타 파 하

Sort by: In order: Results/Page Etal:

Showing results 1 to 17 of 17

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 View24

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 View27

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 View23

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 View11

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 View46

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 View39

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 View26

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 View14

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 View14

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 View9

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 View31

Developing machine-learning-based car crash detection systems  using video and audio data

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

Conference Paper Issue Date2019-11-08 View11

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 View12

Multimodal 1D CNN for delamination prediction in CFRP drilling process with industrial robots File

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

Article Issue Date2024-04 View28

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 View8

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 View6

멀티모달 1차원 합성곱 신경망 기반의 탄소섬유복합재(CFRP) 홀 결함 예측

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

Conference Paper Issue Date2022-06-03 View11

RSS 1.0 RSS 2.0

UNIST | Library

Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr

ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.