| A novelty detection approach for tendons of prestressed concrete bridges based on a convolutional autoencoder and acceleration data K Lee, S Jeong, SH Sim, DH Shin Sensors 19 (7), 1633, 2019 | 32 | 2019 |
| A damage localization approach for rahmen bridge based on convolutional neural network K Lee, N Byun, DH Shin KSCE Journal of Civil Engineering 24 (1), 1-9, 2020 | 31 | 2020 |
| Detection of damaged mooring line based on deep neural networks M Chung, S Kim, K Lee Ocean Engineering 209, 107522, 2020 | 29 | 2020 |
| Damage detection of catenary mooring line based on recurrent neural networks K Lee, M Chung, S Kim Ocean Engineering 227, 108898, 2021 | 27 | 2021 |
| Prediction of heavy rain damage using deep learning K Lee, C Choi, DH Shin, HS Kim Water 12 (7), 1942, 2020 | 22 | 2020 |
| Field experiment on a PSC-I bridge for convolutional autoencoder-based damage detection K Lee, S Jeong, SH Sim, DH Shin Structural Health Monitoring 20 (4), 1627-1643, 2021 | 17 | 2021 |
| Forecasting short-term housing transaction volumes using time-series and internet search queries K Lee, H Kim, DH Shin KSCE Journal of Civil Engineering 23, 2409-2416, 2019 | 14 | 2019 |
| Short-term forecast model of apartment Jeonse prices using search frequencies of news article keywords H Kang, K Lee, DH Shin KSCE Journal of Civil Engineering 23 (12), 4984-4991, 2019 | 8 | 2019 |
| Generative model of acceleration data for deep learning-based damage detection for bridges using generative adversarial network K Lee, DH Shin Journal of KIBIM 9 (1), 42-51, 2019 | 6 | 2019 |
| Seamless Superimposition Technique of Virtual Objects for AR System of Excavator Based on Image Processing K Lee, J Park, H Kang, D Shin Korean Journal of Construction Engineering and Management 18 (2), 21-29, 2017 | 5 | 2017 |
| Damage-detection approach for bridges with multi-vehicle loads using convolutional autoencoder K Lee, S Jeong, SH Sim, DH Shin Sensors 22 (5), 1839, 2022 | 4 | 2022 |
| Small Tool Image Database and Object Detection Approach for Indoor Construction Site Safety K Lee, C Jeon, DH Shin KSCE Journal of Civil Engineering 27 (3), 930-939, 2023 | 3 | 2023 |
| Damage localization of bridges with variational autoencoder K Lee, M Chung, C Jeon, DH Shin KSCE Journal of Civil and Environmental Engineering Research 40 (2), 233-238, 2020 | 2 | 2020 |
| Variational Autoencoder 를 이용한 교량 손상 위치 추정방법 이강혁， 정민웅， 전찬웅， 신도형 대한토목학회논문집 40 (2), 233-238, 2020 | 1 | 2020 |
| Convolution Neural Network 를 이용한 노후교량의 균열 위치 파악 방법론 이강혁， 박주환， 오성민， 신도형 대한토목학회 학술대회, 1263-1264, 2017 | 1 | 2017 |
| 굴삭기 AR 시스템을 위한 이미지 프로세싱 기반 가상 이미지 중첩 기술 이강혁， 박주환， 강호준， 신도형 한국건설관리학회 논문집 18 (2), 21-29, 2017 | 1 | 2017 |
| Methodology for construction-standard-production-rate-based simulation modeling and production-rate data generation Y Ko, Y Kim, J Noh, K Lee, D Shin, S Han Journal of Asian Architecture and Building Engineering 23 (2), 725-739, 2024 | | 2024 |
| Improved discriminative object localization algorithm for safety management of indoor construction J Hwang, K Lee, MM Ei Zan, M Jang, DH Shin Sensors 23 (8), 3870, 2023 | | 2023 |
| Impact Assessment of Bridge Damage Detection Based on Deep Learning According to Number and Location of Accelerometer Installations 강혁이， 성한심， 도형신 Journal of the Korean Society of Hazard Mitigation 21 (5), 183-190, 2021 | | 2021 |
| 딥러닝기반 Damage Sensitive Feature 를 활용한 교량의 예방적 유지관리의 개념적 방법 이강혁， 전찬웅， 이의덕， 신도형 대한토목학회 학술대회, 1799-1800, 2020 | | 2020 |
Do Hyoung ShinInha University, ProfessorVerified email at inha.ac.kr
