Browse "Dept. of Civil and Environmental Engineering(건설및환경공학과)" by Author Kim, Jin
Showing results 1 to 16 of 16
| A comparative study of deep learning models for crack detection and measurement Kim, Jin; Cha, Yohan; Cho, Gye-Chun, ASEM20, International Association of Structural engineering and mechanics, 2020-08-27 |
| A Study on the Crack Detection Performance for Learning Structure using Super-Resolution Kim, Jin; Shim, Seungbo; Cho, Gye-Chun, The 2021 World Congress on Advances in Structural Engineering and Mechanics (ASEM21), IASEM, KAIST, KTA, SNU DAAE, 2021-08-25 |
| (A) study on segmentation model using deep learning for effective crack detection in tunnel = 터널 내 효과적인 균열 탐지를 위한 딥러닝 기반 세그멘테이션 모델에 대한 연구link Kim, Jin; Cho, Gye-Chun; et al, 한국과학기술원, 2021 |
| Analysis of dynamic response of shore connection segment of submerged floating tunnel. Kang, Seok-Jun; Kim, Jin; Park, Joohyun; Cho, Gye-Chun, BARCELONA IABMAS 2022: 11th International Conference on Bridge Maintenance, Safety and Management, CIMNE, 2022-07-12 |
| Crack Quantification Method for Concrete Tunnels with RGB-D Kim, Jin; Shim, Seungbo; Cho, Gye-Chun, The 2022 World Congress on Advances in Civil, Environmental & Materials Research, ACEM22, IASEM, KAIST, SNU, KACM, 2022-08-18 |
| Evaluating Vision-Based Quantification Approach for Concrete Crack Inspection Kim, Jin; Shim, S; Bang, Jeonguk; Cho, Gye-Chun, The 33rd KKHTCNN Symposium on Civil Engineering, National University of Singapore (NUS), 2022-11-18 |
| Image based Crack Detection and Quantification of Crack properties Kim, Jin; Cho, Gye-Chun, 32nd KKHTCNN Symposium on Civil Engineering, KAIST, 2019-10-24 |
| Image-Based Crack Detecting using Convolution Neural Network (CNN) with Less Data Kim, Jin; Cho, Gye-Chun, ASEM19, International Association of Structural engineering and mechanics, 2019-09-19 |
| Improvement of mechanical rock excavation with abrasive waterjet assistance Cha, Yohan; Oh, Tae-Min; Hwang, Hyun-Joong; Kim, Jin; Cho, Gye-Chun, ASEM20, International Association of Structural engineering and mechanics, 2020-08-27 |
| Learning Structure for Concrete Crack Detection Using Robust Super-Resolution with Generative Adversarial Network Kim, Jin; Shim, Seungbo; Kang, Seok-Jun; Cho, Gye-Chun, STRUCTURAL CONTROL & HEALTH MONITORING, v.2023, 2023-04 |
| Lightweight pixel-wise segmentation for efficient concrete crack detection using hierarchical convolutional neural network Kim, Jin; Shim, Seungbo; Cha, Yohan; Cho, Gye-Chun, SMART MATERIALS AND STRUCTURES, v.30, no.4, 2021-03 |
| Numerical evaluation of surface settlement induced by ground loss from the face and annular gap of EPB shield tunneling An, Jun-Beom; Kang, Seok-Jun; Kim, Jin; Cho, Gye-Chun, GEOMECHANICS AND ENGINEERING, v.29, no.3, pp.291 - 300, 2022-05 |
| Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator Shim, Seungbo; Lee, Seong-Won; Cho, Gye-Chun; Kim, Jin; Kang, Sung-Mo, COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, v.38, no.15, pp.2180 - 2201, 2023-10 |
| Road damage detection using super-resolution and semi-supervised learning with generative adversarial network Shim, Seungbo; Kim, Jin; Lee, Seong-Won; Cho, Gye-Chun, AUTOMATION IN CONSTRUCTION, v.135, 2022-03 |
Road surface damage detection based on hierarchical architecture using lightweight auto-encoder network Shim, Seungbo; Kim, Jin; Lee, Seong-Won; Cho, Gye-Chun, AUTOMATION IN CONSTRUCTION, v.130, pp.103833, 2021-10 |
| Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks Shim, Seungbo; Kim, Jin; Cho, Gye-Chun; Lee, Seong-Won, STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v.22, no.2, pp.1353 - 1375, 2023-03 |
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