Get started
Author

Young-Geun Yoon

Observed name: Young Geun Yoon
ORCID: 0000-0002-2846-9332
Observed ORCID: 0000-0002-2846-9332
OpenAlex ID: A5032419812
Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN)
2019 · Jong Yil Park, Young Geun Yoon, et al. · Applied Sciences · 67
PDF
A Study on Data Pre-Processing and Accident Prediction Modelling for Occupational Accident Analysis in the Construction Industry
2020 · Jae Yun Lee, Young Geun Yoon, et al. · Applied Sciences · 49
PDF
A Study on the Applicability of the Impact-Echo Test Using Semi-Supervised Learning Based on Dynamic Preconditions
2022 · Young-Geun Yoon, Chung-Min Kim, et al. · Sensors · 30
PDF
Establishment of Safety Management Measures for Major Construction Workers through the Association Rule Mining Analysis of the Data on Construction Accidents in Korea
2024 · Young-Geun Yoon, Changbum Ryan Ahn, et al. · Buildings · 25
PDF
Prediction of Static Modulus and Compressive Strength of Concrete from Dynamic Modulus Associated with Wave Velocity and Resonance Frequency Using Machine Learning Techniques
2020 · Jong Yil Park, Sung-Han Sim, et al. · Materials · 22
PDF
Effectiveness Analysis for Smart Construction Safety Technology (SCST) by Test Bed Operation on Small- and Medium-Sized Construction Sites
2022 · Yong-Seon Kim, Jae Yun Lee, et al. · International Journal of Environmental Research and Public Health · 19
PDF
Enhancing Worker Safety Behaviors Through the Job Demands–Resources Approach: Insights from the Korean Construction Sector
2025 · Hyun Jeong Seo, Seung-Yoon Rhee, et al. · Buildings · 17
PDF
A Study on the Detection of Internal Defect Types for Duct Depth of Prestressed Concrete Structures Using Electromagnetic and Elastic Waves
2021 · Young-Geun Yoon, Jae-Yun Lee, et al. · Materials · 15
PDF
Analyzing Research Trends in Smart Construction Safety: A Topic Modeling Approach
2025 · Hyun Jeong Seo, Young-Geun Yoon · Buildings · 10
PDF
Damage Evaluation of Porcelain Insulators with 154 kV Transmission Lines by Various Support Vector Machine (SVM) and Ensemble Methods Using Frequency Response Data
2019 · In Hyuk Choi, Ja Bin Koo, et al. · Applied Sciences · 10
PDF
The Impact of Physical Hazards on Workers’ Job Satisfaction in the Construction Industry: A Case Study of Korea
2024 · Hyun Jeong Seo, Eun-jung Hyun, et al. · Behavioral Sciences · 9
PDF
Non-destructive analysis of power insulators by frequency response function and three dimensional-computed tomography
2022 · Taeyong Kim, Simpy Sanyal, et al. · Mechanical Systems and Signal Processing · 8
Development of Equipment and Application of Machine Learning Techniques Using Frequency Response Data for Cap Damage Detection of Porcelain Insulators
2020 · In Hyuk Choi, Ja Bin Koo, et al. · Applied Sciences · 8
PDF
A Study on the Application of Machine and Deep Learning Using the Impact Response Test to Detect Defects on the Piston Rod and Steering Rack of Automobiles
2022 · Young-Geun Yoon, Ji-Hoon Woo, et al. · Sensors · 6
Damage Assessment of Porcelain Insulators through Principal Component Analysis Associated with Frequency Response Signals
2019 · In Hyuk Choi, Ju Am Son, et al. · Applied Sciences · 6
PDF
Application of a Wireless and Contactless Ultrasonic System to Evaluate Optimal Sawcut Time for Concrete Pavements
2022 · Homin Song, Jinyoung Hong, et al. · Sensors · 5
PDF
Study on Prediction and Application of Initial Chord Elastic Modulus with Resonance Frequency Test of ASTM C 215
2020 · Young Geun Yoon, HaJin Choi, et al. · Applied Sciences · 4
PDF
Works count: 17
Citation count: 310
H-index: 10
I10-index: 10
Year
Topic
Type