Showing results 1 to 8 of 8
Deep Learning-based CAD/CAE Framework Kang, Namwoo; Yoo, Soyoung; Lee, Sunghee; Kim, Seongsin; Hwang, Kwang Hyeon; Park, Jong Ho, Asian Congress of Structural and Multidisciplinary Optimization, ACSMO2020, Asian Society of Structural and Multidisciplinary Optimization, 2020-11-23 |
Effect of Robo-Taxi User Experience on User Acceptance: Field Test Data Analysis Lee, Sunghee; Yoo, Soyoung; Kim, Seongsin; Kim, Eunji; Kang, Namwoo, TRANSPORTATION RESEARCH RECORD, v.2676, no.2, pp.350 - 366, 2022-02 |
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization Yoo, Soyoung; Kang, Namwoo, EXPERT SYSTEMS WITH APPLICATIONS, v.183, 2021-11 |
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs Jang, Seowoo; Yoo, Soyoung; Kang, Namwoo, COMPUTER-AIDED DESIGN, v.146, 2022-05 |
How to Trade off Aesthetics and Performance in Generative Design? Shin, Dongju; Yoo, Soyoung; Lee, Sunghee; Kim, Minyoung; Hwang, Kwang Hyeon; Park, Jong Ho; Kang, Namwoo, The 2021 World Congress on Advances in Structural Engineering and Mechanics (ASEM21), IASEM, KAIST, KTA, SNU DAAE, 2021-08-24 |
Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel Yoo, Soyoung; Lee, Sunghee; Kim, Seongsin; Hwang, Kwang Hyeon; Park, Jong Ho; Kang, Namwoo, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.64, no.4, pp.2725 - 2747, 2021-10 |
Predicting Manufacturing Cost of CAD Models Using 3D CNN Yoo, Soyoung; Kang, Namwoo, Asian Congress of Structural and Multidisciplinary Optimization, ACSMO2020, Asian Society of Structural and Multidisciplinary Optimization, 2020-11-23 |
Wheel impact test by deep learning: prediction of location and magnitude of maximum stress Shin, Seungyeon; Jin, Ah-hyeon; Yoo, Soyoung; Lee, Sunghee; Kim, ChangGon; Heo, Sungpil; Kang, Namwoo, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.66, no.1, 2023-01 |
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