Go to
Under Review or Preparation 
1.
Brian Eick, Byunghyun Kim, Kirk Atwater, and Bill Spencer,Ā Detection of Uneven Hoisting of Tainter Gates on Dams by Hoisting Chain Self-Excitation (In Preparation)
2.
Shuo Wang, Travis Fillmore, Byunghyun Kim, Junhwa Lee, Brian Eick, and Billie F. Spencer, Dense 3D Displacement Measurement for Miter Gates using a Graphics-based Digital Twin (In Preparation)
3.
Byunghyun Kim, and Soojin Cho, Deep Semi-Supervised Structural Anomaly Detection Framework for Structural Health Monitoring of Bridges (Under Review)
4.
Byunghyun Kim, and Soojin Cho, Vibration Method for Tendon Force Loss Detection Using Large Kernel Convolution and Semi-Supervised Training (Under Review)
5.
Sukkyoung Bae, Byunghyun Kim, and Soojin Cho, Crack Assessment Using Cascade Mask R-CNN and DilationāErosion Processing Technique (Under Review)
International Journals
1.
Asad, Ali Turab, Byunghyun Kim, Soojin Cho, and Sung-Han Sim. "Prediction Model for LongāTerm Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization."Ā Structural Control and Health MonitoringĀ 2023, no. 1 (2023): 6664981.
2.
Kim, Byunghyun, Junhwa Lee, Sung Han Sim, Soojin Cho, and Byung Ho Park. "Computer vision-based remote displacement monitoring system for in-situ bridge bearings robust to large displacement induced by temperature change."Ā Smart Structures and SystemsĀ 30, no. 5 (2022): 521-535.
3.
Tanveer, Muhammad, Byunghyun Kim, Jonghwa Hong, Sung-Han Sim, and Soojin Cho. "Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection."Ā Applied SciencesĀ 12, no. 24 (2022): 12786.
4.
Lee, Jin Hwan, Sungsik Yoon, Byunghyun Kim, Gi-Hun Gwon, In-Ho Kim, and Hyung-Jo Jung. "A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle."Ā Smart Struct. SystĀ 27, no. 2 (2021): 209-226.
5.
Jang, Keunyoung, YunāKyu An, Byunghyun Kim, and Soojin Cho. "Automated crack evaluation of a highārise bridge pier using a ringātype climbing robot."Ā ComputerāAided Civil and Infrastructure EngineeringĀ 36, no. 1 (2021): 14-29.
6.
Kim, Byunghyun, and Soojin Cho. "Automated multiple concrete damage detection using instance segmentation deep learning model."Ā Applied SciencesĀ 10, no. 22 (2020): 8008.
7.
Kim, Byunghyun, and Soojin Cho. "Imageābased concrete crack assessment using mask and regionābased convolutional neural network."Ā Structural Control and Health MonitoringĀ 26, no. 8 (2019): e2381.
8.
Kim, Byunghyun, and Soojin Cho. "Hyperspectral Super-Resolution Technique Using Histogram Matching and Endmember Optimization."Ā Applied SciencesĀ 9, no. 20 (2019): 4444.
9.
Kim, Byunghyun, and Soojin Cho. "Automated vision-based detection of cracks on concrete surfaces using a deep learning technique."Ā SensorsĀ 18, no. 10 (2018): 3452.
10.
Kim, Byunghyun, and Soojin Cho. "Efflorescence assessment using hyperspectral imaging for concrete structures."Ā Smart Structures and Systems, An International JournalĀ 22, no. 2 (2018): 209-221.
Conference Proceedings
1.
Cho, Soojin, Byunghyun Kim, and Geonsoon Kim. "Application of deep learning-based crack assessment technique to civil structures." InĀ SMAR 2019-Fifth Conference on Smart Monitoring Assessment and Rehabilitation of Civil Structures. 2019.
2.
Kim, Byunghyun, Ye-In Lee, and Soojin Cho. "Deep learning-based rapid inspection of concrete structures." InĀ Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, vol. 10598, pp. 285-289. SPIE, 2018.
3.
An, Yun-Kyu, Keunyoung Jang, Byunghyun Kim, and Soojin Cho. "Deep learning-based concrete crack detection using hybrid images." InĀ Sensors and smart structures technologies for civil, mechanical, and aerospace systems 2018, vol. 10598, pp. 273-284. SPIE, 2018.
4.
Kim, Byunghyun, Dae-Myung Kim, and Soojin Cho. "Assessment of Concrete Efflorescence based on Hyper-spectral Imaging." InĀ PHM Society Asia-Pacific Conference, vol. 1, no. 1. 2017.
Korean Journals
1.
Kim, Byung-Hyun, Soo-Jin Cho, Hong-Je Chae, Hong-Ki Kim, and Jong-Ha Kang. "Development of Crack Detection System for Highway Tunnels using Imaging Device and Deep Learning."Ā Journal of the Korea institute for structural maintenance and inspectionĀ 25, no. 4 (2021): 65-74.
2.
Kim, Byunghyun, and Soojin Cho. "Crack Inspection and Mapping of Concrete Bridges using Integrated Image Processing Techniques."Ā Journal of the Korean Society of SafetyĀ 36, no. 1 (2021): 18-25.
3.
Kim, Byunghyun, Geonsoon Kim, Soomin Jin, and Soojin Cho. "A comparative study on performance of deep learning models for vision-based concrete crack detection according to model types."Ā Journal of the Korean Society of SafetyĀ 34, no. 6 (2019): 50-57.
4.
Kim, Byunghyun, Daemyung Kim, and Soojin Cho. "A Study on Concrete Efflorescence Assessment using Hyperspectral Camera."Ā Journal of the Korean Society of SafetyĀ 32, no. 6 (2017): 98-103.