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Byunghyun Kim
Byunghyun Kim
在 illinois.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique
B Kim, S Cho
Sensors 18 (10), 3452, 2018
3112018
Image‐based concrete crack assessment using mask and region‐based convolutional neural network
B Kim, S Cho
Structural Control and Health Monitoring 26 (8), e2381, 2019
2772019
Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot
K Jang, YK An, B Kim, S Cho
Computer‐Aided Civil and Infrastructure Engineering 36 (1), 14-29, 2021
1232021
Automated Multiple Concrete Damage Detection Using Instance Segmentation Deep Learning Model
B Kim, S Cho
Applied Sciences 10 (22), 8008, 2020
812020
Deep learning-based concrete crack detection using hybrid images
YK An, K Jang, B Kim, S Cho
Sensors and smart structures technologies for civil, mechanical, and …, 2018
322018
Image-based spalling detection of concrete structures using deep learning
YI Lee, B Kim, S Cho
Journal of the Korea Concrete Institute 30 (1), 91-99, 2018
282018
A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle
JH Lee, S Yoon, B Kim, GH Gwon, IH Kim, HJ Jung
Smart Struct. Syst 27 (2), 209-226, 2021
192021
A Comparative Study on Performance of Deep Learning Models for Vision-based Concrete Crack Detection according to Model Types
B Kim, G Kim, S Jin, S Cho
Journal of the Korean Society of Safety 34 (6), 50-57, 2019
132019
Efflorescence assessment using hyperspectral imaging for concrete structures
B Kim, S Cho
Smart Structures and Systems, An International Journal 22 (2), 209-221, 2018
82018
Prediction Model for Long‐Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization
AT Asad, B Kim, S Cho, SH Sim
Structural Control and Health Monitoring 2023 (1), 6664981, 2023
62023
Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection
M Tanveer, B Kim, J Hong, SH Sim, S Cho
Applied Sciences 12 (24), 12786, 2022
62022
Development of Crack Detection System for Highway Tunnels using Imaging Device and Deep Learning
BH Kim, SJ Cho, HJ Chae, HK Kim, JH Kang
Journal of the Korea institute for structural maintenance and inspection 25 …, 2021
52021
Application of deep learning-based crack assessment technique to civil structures
S CHO, B KIM, G KIM
42019
A Study on Concrete Efflorescence Assessment using Hyperspectral Camera
B Kim, D Kim, S Cho
Journal of the Korean Society of Safety 32 (6), 98-103, 2017
42017
Computer vision-based remote displacement monitoring system for in-situ bridge bearings robust to large displacement induced by temperature change
B Kim, J Lee, SH Sim, S Cho, BH Park
Smart Structures and Systems, An International Journal 30 (5), 521-535, 2022
32022
Deep learning-based rapid inspection of concrete structures
B Kim, YI Lee, S Cho
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018
32018
Hyperspectral Super-Resolution Technique Using Histogram Matching and Endmember Optimization
B Kim, S Cho
Applied Sciences 9 (20), 4444, 2019
12019
Self-excited hoisting chain tension measurements for dam spillway gates and identification of uneven hoisting
B Eick, B Kim, K Atwater, B Spencer
Journal of Civil Structural Health Monitoring, 1-16, 2024
2024
Crack Inspection and Mapping of Concrete Bridges using Integrated Image Processing Techniques
B Kim, S Cho
Journal of the Korean Society of Safety 36 (1), 18-25, 2021
2021
A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle
HJ Jung, JH Lee, S Yoon, B Kim, GH Gwon, IH Kim
International Association of Structural Engineering And Mechanics, 2021
2021
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