Ki-Yong Oh
Orcid: 0000-0003-2895-4749
According to our database1,
Ki-Yong Oh
authored at least 21 papers
between 2015 and 2024.
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Collaborative distances:
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Bibliography
2024
Autonomous flight strategy of an unmanned aerial vehicle with multimodal information for autonomous inspection of overhead transmission facilities.
Comput. Aided Civ. Infrastructure Eng., July, 2024
RoMP-transformer: Rotational bounding box with multi-level feature pyramid transformer for object detection.
Pattern Recognit., March, 2024
Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data.
IEEE Access, 2024
2023
Sensors, August, 2023
A novel physics-informed neural network for modeling electromagnetism of a permanent magnet synchronous motor.
Adv. Eng. Informatics, August, 2023
Enhancing Structural Crack Detection through a Multiscale Multilevel Mask Deep Convolutional Neural Network and Line Similarity Index.
Int. J. Intell. Syst., 2023
Margin-Maximized Hyperspace for Fault Detection and Prediction: A Case Study With an Elevator Door.
IEEE Access, 2023
2022
GPU-Oriented Environmental Cognition of Power Transmission Lines Through LiDAR-Equipped UAVs.
IEEE Syst. J., 2022
Integrated framework for estimating remaining useful lifetime through a deep neural network.
Appl. Soft Comput., 2022
2021
Rotational multipyramid network with bounding-box transformation for object detection.
Int. J. Intell. Syst., 2021
Cover: International Journal of Intelligent Systems, Volume 36 Issue 9 September 2021.
Int. J. Intell. Syst., 2021
2020
Vibration Control of Scanning Electron Microscopes with Experimental Approaches for Performance Enhancement.
Sensors, 2020
Method of operating a GIS-based autopilot drone to inspect ultrahigh voltage power lines and its field tests.
J. Field Robotics, 2020
Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing.
Complex., 2020
Damage Detection With an Ultrasound Array and Deep Convolutional Neural Network Fusion.
IEEE Access, 2020
Fault Diagnosis of Power Transmission Lines Using a UAV-Mounted Smart Inspection System.
IEEE Access, 2020
2019
Evolution of the dynamic response and its effects on the serviceability of offshore wind turbines with stochastic loads and soil degradation.
Reliab. Eng. Syst. Saf., 2019
Automatic Inspection Drone with Deep Learning-based Auto-tracking Camera Gimbal to Detect Defects in Power Lines.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019
2016
Proceedings of the 2016 American Control Conference, 2016
2015
A Novel Method and its Field Tests for Monitoring and Diagnosing Blade Health for Wind Turbines.
IEEE Trans. Instrum. Meas., 2015