Application of Tooth Gear Impact-Echo System for Repeated and Rapid Data Acquisition by Jinyoung Hong, Hajin Choi, Tae Keun Oh

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Study on Prediction and Application of Initial Chord Elastic Modulus with Resonance Frequency Test of ASTM C 215 by Young Geun Yoon, HaJin Choi, Tae Keun Oh

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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 by Young-Geun Yoon, Ji-Hoon Woo, Tae-Keun Oh

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A Study on the Applicability of the Impact-Echo Test Using Semi-Supervised Learning Based on Dynamic Preconditions by Young-Geun Yoon, Chung-Min Kim, Tae-Keun Oh

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Establishment of Safety Management Measures for Major Construction Workers through the Association Rule Mining Analysis of the Data on Construction Accidents in Korea by Young-Geun Yoon, Changbum Ryan Ahn, Sang-Guk Yum, Tae Keun Oh

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A Study on Data Pre-Processing and Accident Prediction Modelling for Occupational Accident Analysis in the Construction Industry by Jae Yun Lee, Young Geun Yoon, Tae Keun Oh, Seunghee Park, Sang Il Ryu

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Development of Equipment and Application of Machine Learning Techniques Using Frequency Response Data for Cap Damage Detection of Porcelain Insulators by In Hyuk Choi, Ja Bin Koo, Ju Am Son, Jun Sin Yi, Young Geun Yoon, Tae Keun Oh

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Identification of candidate gene variants of monogenic diabetes using targeted panel sequencing in early onset diabetes patients by Eu Jeong Ku, Dong-Hwa Lee, Soo-Heon Kwak, Hee Sue Park, Hyun Jeong Jeon, Tae Keun Oh

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Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus by Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang

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