Scholarworks@UNIST

UNIST Library

Browsing "Department of Mechanical Engineering" by Title :

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 861 to 880 of 4203

Deep learning model for predicting cross-sectional joint shape in a self-piercing riveting process

Oh, Sehyeok , Kim, Hyun Kyung , Jeong, T.-E. , Kam, D.-H. , Ki, Hyungson

Conference Paper Issue Date2021-11-25 View8

Deep learning model for predicting hardness distribution in laser heat treatment of AISI H13 tool steel File

Oh, Sehyeok , Ki, Hyungson

Article Issue Date2019-05 View9

Deep Learning-based Generative Approach for Surface Morphology Prediction in Direct Energy Deposition (DED)

Kim Byoungsoo , Chung, Haekwon , Park, Jooyoung , Choi, Sungjoon , Kim, Namhun

Conference Paper Issue Date2023-10-19 View11

Deep Learning-Based Human Detection Using RGB and IR Images from Drones File

Bae, Seonguk , Shin, Heejung , Kim, Hyeongseop , Park, Minkyu , Choi, Myong-Yol , Oh, Hyondong

Article Issue Date2024-01 View17

Deep learning-based monitoring system for predicting top and bottom bead widths during the laser welding of aluminum alloy File

Nam, Kimoon , Ki, Hyungson

Article Issue Date2024-06 View25

Deep learning-based prediction of thermal residual stress and melt pool characteristics in laser-irradiated carbon steel File

Woo, Myungrin , Ki, Hyungson

Article Issue Date2024-06 View8

Deep learning-based reflectance prediction of rough surfaces File

Yoo, Jeonghyun

Thesis Issue Date2023-02 View14

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 View24

Deep Learning-based UAV Trail Following with The Neural Network Model Compression

Jung, Minjae , Shin, Heejung , Oh, Hyondong

Conference Paper Issue Date2022-05-06 View6

Deep-learning approach for predicting crystalline phase distribution of femtosecond laser-processed silicon File File

Kim, Hyun Kyung , Woo, Myungrin , Ki, Hyungson

Article Issue Date2023-02 View21

Deep-learning approach for predicting laser-beam absorptance in full-penetration laser keyhole welding File File

Oh, Sehyeok , Kim, Hyeongwon , Nam, Kimoon , Ki, Hyungson

Article Issue Date2021-06 View13

Deep-Learning Approach to the Self-Piercing Riveting of Various Combinations of Steel and Aluminum Sheets File File

Kim, Hyun Kyung , Oh, Sehyeok , Cho, Keong-Hwan , Kam, Dong-Hyuck , Ki, Hyungson

Article Issue Date2021-05 View19

Deep-learning model for predicting hardness and phase distributions from two cross-sectional temperature distribution images in laser heat treatment of AH36 steel File File

Son, Myeonggyun , Ki, Hyungson

Article Issue Date2023-11 View14

Deep-learning-based monitoring of laser-beam absorptance during full-penetration laser keyhole welding

Kim, Hyeongwon , Nam, Kimoon , Kim, Yeonsu , Oh, Sehyeok , Ki, Hyungson

Conference Paper Issue Date2022-10-05 View6

Deep-learning-based prediction of out-of-plane structural deformation of a deck plate

Oh, Sehyeok , Jin, Hyung Kook , Joe, Seok Je , Ki, Hyungson

Conference Paper Issue Date2023-05-16 View7

Deep-Learning-Based Predictive Architectures for Self-Piercing Riveting Process File

Oh, Sehyeok , Kim, Hyun Kyung , Jeong, Taek-Eon , Kam, Dong-Hyuck , Ki, Hyungson

Article Issue Date2020-06 View17

Deep-learning-based real-time monitoring of full-penetration laser keyhole welding by using the synchronized coaxial observation method File

Kim, Hyeongwon , Nam, Kimoon , Oh, Sehyeok , Ki, Hyungson

Article Issue Date2021-08 View17

Deep-Learning-Based Real-Time Monitoring of Laser Keyhole Welding Processes File File

Kim, Hyeongwon

Thesis Issue Date2021-08 View10

Deep-Sintered Copper Tracks for Thermal Oxidation Resistance Using Large Pulsed Electron Beam File File

Hwang, Yunjae , Kim, Jisoo , Yim, Changyong , Park, Hyung Wook

Article Issue Date2021-07 View9

Defect detection in laser-welded battery tabs using deep learning with imbalanced class datasets. File File

Kim, Sunghyun

Thesis Issue Date2024-02 View40

<< < 41 42 43 44 45 46 47 48 49 50 > >>

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.