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Ji-Wan Ham

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2020 – today

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2023
[j6]
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  - journals/ijis/HamJKPO23
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Ji-Wan Ham, Siheon Jeong, Min-Gwan Kim, Joon-Young Park, Ki-Yong Oh:
Enhancing Structural Crack Detection through a Multiscale Multilevel Mask Deep Convolutional Neural Network and Line Similarity Index. Int. J. Intell. Syst. 2023: 1-22 (2023)
2021
[j5]
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Donggeun Kim, San Kim, Siheon Jeong, Ji-Wan Ham, Seho Son, Joonhyeok Moon, Ki-Yong Oh:
Rotational multipyramid network with bounding-box transformation for object detection. Int. J. Intell. Syst. 36(9): 5307-5338 (2021)
[j4]
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Donggeun Kim, San Kim, Siheon Jeong, Ji-Wan Ham, Seho Son, Joonhyeok Moon, Ki-Yong Oh:
Cover: International Journal of Intelligent Systems, Volume 36 Issue 9 September 2021. Int. J. Intell. Syst. 36(9): i (2021)
2020
[j3]
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San Kim, Donggeun Kim, Siheon Jeong, Ji-Wan Ham, Jae-Kyung Lee, Ki-Yong Oh:
Fault Diagnosis of Power Transmission Lines Using a UAV-Mounted Smart Inspection System. IEEE Access 8: 149999-150009 (2020)
[j2]
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Donggeun Kim, San Kim, Siheon Jeong, Ji-Wan Ham, Seho Son, Ki-Yong Oh:
Damage Detection With an Ultrasound Array and Deep Convolutional Neural Network Fusion. IEEE Access 8: 189423-189435 (2020)
[j1]
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Joon-Young Park, Seok-Tae Kim, Jae-Kyung Lee, Ji-Wan Ham, Ki-Yong Oh:
Method of operating a GIS-based autopilot drone to inspect ultrahigh voltage power lines and its field tests. J. Field Robotics 37(3): 345-361 (2020)

2010 – 2019

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2019
[c1]
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Joon-Young Park, Seok-Tae Kim, Jae-Kyung Lee, Ji-Wan Ham, Ki-Yong Oh:
Automatic Inspection Drone with Deep Learning-based Auto-tracking Camera Gimbal to Detect Defects in Power Lines. ICVISP 2019: 46:1-46:6

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